replace submodule with lfs

app.py

@@ -7,7 +7,7 @@ from PIL import Image
 darknetpath = os.path.join(os.path.dirname(__file__), "darknet")
 darknet_executable = os.path.join(darknetpath, "darknet")
 
-modelpath = os.path.join(os.path.dirname(__file__), "yolo-lightnet")
+modelpath = os.path.join(os.path.dirname(__file__), "models")
 models = {}
 modellist = []
 

models/.gitattributes

@@ -0,0 +1,36 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+*.weights filter=lfs diff=lfs merge=lfs -text

models/README.md

@@ -0,0 +1,50 @@
+---
+license: apache-2.0
+tags:
+- darknet
+- yolo
+pipeline_tag: object-detection
+---
+# yolo-lightnet
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+This is an optimized YOLO model. It is optimized for running on NVDLA.
+
+*NOTE: This is darknet format **NOT** Pytorch.*
+
+## Model Details
+
+<!-- Provide a longer summary of what this model is. -->
+
+File name is formatted like `lightnet-{name}-{resolution}.weights`. 
+
+
+### driving
+
+- target: car, bus, person, bike, truck, motor, train, rider, traffic_sign, traffic_light
+- training data: BDD100K
+
+### face
+
+- target: face
+- train data: wider face
+
+### head_body
+
+- target: head, body(include hidden area)
+- train data: crowdhuman
+
+### head_body-visible
+
+- target: head, body(only visible area)
+- train data: crowdhuman
+- cfg file and label names are same as `head body`
+
+## Uses
+
+Running on:
+https://github.com/daniel89710/lightNet-TRT
+https://github.com/AlexeyAB/darknet
+
+

models/driving/bdd100k.data

@@ -0,0 +1,5 @@
+classes = 10
+train =
+valid =
+names = driving/bdd100k.names
+backup =

models/driving/bdd100k.names

@@ -0,0 +1,10 @@
+car
+bus
+person
+bike
+truck
+motor
+train
+rider
+traffic_sign
+traffic_light

models/driving/lightnet-driving-1280x960.cfg

@@ -0,0 +1,915 @@
+[net]
+batch=256
+subdivisions=64
+width=1280
+height=960
+channels=3
+momentum=0.9
+decay=0.0005
+angle=0
+saturation = 1.5
+exposure = 1.5
+hue=.1
+
+learning_rate=0.001
+burn_in=500
+max_batches = 10000
+policy=steps
+
+steps=500,2000,4000,8000
+scales=.5,.5,.5,.5
+gaussian_noise=1
+flip=1
+
+##sparse=1 : 2:4 structured sparsity
+
+[convolutional]
+batch_normalize=1
+filters=32
+size=3
+stride=2
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=2
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=2
+pad=1
+activation=relu
+
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=2
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=2
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=relu
+
+
+##################################
+
+### ASPPCSP ###
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+### ASPP ###
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+dilation=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+dilation=3
+activation=relu
+
+[route]
+layers=-4
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+dilation=5
+activation=relu
+
+[route]
+layers=-1,-3,-5,-6
+### End ASPP ###
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -10,-1
+
+# 44
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+### End ASPPCSP ###
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[upsample]
+stride=2
+
+[route]
+layers = 30
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+
+# 56
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[upsample]
+stride=2
+
+[route]
+layers = 20
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=2
+pad=1
+filters=128
+activation=relu
+
+[route]
+layers = -1,67
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=2
+pad=1
+filters=256
+activation=relu
+
+[route]
+layers = -1,53
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+#############################
+
+# ============ End of Neck ============ #
+
+# ============ Head ============ #
+
+
+# P3
+[route]
+layers = 80
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=128
+activation=relu
+
+[convolutional]
+##sparse=1
+size=1
+stride=1
+pad=1
+filters=45
+#activation=linear
+activation=logistic
+
+[yolo]
+mask = 0,1,2
+anchors =  7, 14,  17, 21,  11, 38,  31, 40,  21, 84,  57, 69,  87,130, 148,198, 215,337
+classes=10
+num=9
+jitter=.3
+scale_x_y = 2.0
+ignore_thresh = .5
+truth_thresh = 1
+#random=1
+resize=1.5
+new_coords=1
+counters_per_class=8, 2, 2, 1, 2, 1, 8, 1, 8, 4
+cls_normalizer=0.25
+iou_normalizer=0.05
+iou_loss=ciou
+
+# P4
+[route]
+layers = 91
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=256
+activation=relu
+
+[convolutional]
+##sparse=1
+size=1
+stride=1
+pad=1
+filters=45
+#activation=linear
+activation=logistic
+
+[yolo]
+mask = 3,4,5
+anchors =  7, 14,  17, 21,  11, 38,  31, 40,  21, 84,  57, 69,  87,130, 148,198, 215,337
+classes=10
+num=9
+jitter=.3
+scale_x_y = 2.0
+ignore_thresh = .5
+truth_thresh = 1
+resize=1.5
+new_coords=1
+counters_per_class=8, 2, 2, 1, 2, 1, 8, 1, 8, 4
+cls_normalizer=0.25
+iou_normalizer=0.05
+iou_loss=ciou
+
+
+# P5
+[route]
+layers = 102
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=512
+activation=relu
+
+[convolutional]
+##sparse=1
+size=1
+stride=1
+pad=1
+filters=45
+#activation=linear
+activation=logistic
+
+[yolo]
+mask = 6,7,8
+anchors =  7, 14,  17, 21,  11, 38,  31, 40,  21, 84,  57, 69,  87,130, 148,198, 215,337
+classes=10
+num=9
+jitter=.3
+scale_x_y = 2.0
+ignore_thresh = .5
+truth_thresh = 1
+resize=1.5
+new_coords=1
+counters_per_class=8, 2, 2, 1, 2, 1, 8, 1, 8, 4
+cls_normalizer=0.25
+iou_normalizer=0.05
+iou_loss=ciou
+

models/driving/lightnet-driving-1280x960.weights

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2486b1277b16bbd6f210abab224ccc3de133b4da2385f6bace0d0c851f4b44a3
+size 36085680

models/driving/lightnet-driving-640x640.cfg

@@ -0,0 +1,917 @@
+[net]
+batch=8
+# subdivisions=1
+# width=1280
+# height=960
+width = 640
+height = 640
+channels=3
+momentum=0.9
+decay=0.0005
+angle=0
+saturation = 1.5
+exposure = 1.5
+hue=.1
+
+learning_rate=0.001
+burn_in=500
+max_batches = 2625000
+policy=steps
+
+steps=437500, 875000, 1312500, 1750000
+scales=.5,.5,.5,.5
+gaussian_noise=1
+flip=1
+
+##sparse=1 : 2:4 structured sparsity
+
+[convolutional]
+batch_normalize=1
+filters=32
+size=3
+stride=2
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=2
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=2
+pad=1
+activation=relu
+
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=2
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=2
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=relu
+
+
+##################################
+
+### ASPPCSP ###
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+### ASPP ###
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+dilation=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+dilation=3
+activation=relu
+
+[route]
+layers=-4
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+dilation=5
+activation=relu
+
+[route]
+layers=-1,-3,-5,-6
+### End ASPP ###
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -10,-1
+
+# 44
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+### End ASPPCSP ###
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[upsample]
+stride=2
+
+[route]
+layers = 30
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+
+# 56
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[upsample]
+stride=2
+
+[route]
+layers = 20
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=2
+pad=1
+filters=128
+activation=relu
+
+[route]
+layers = -1,67
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=2
+pad=1
+filters=256
+activation=relu
+
+[route]
+layers = -1,53
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+#############################
+
+# ============ End of Neck ============ #
+
+# ============ Head ============ #
+
+
+# P3
+[route]
+layers = 80
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=128
+activation=relu
+
+[convolutional]
+##sparse=1
+size=1
+stride=1
+pad=1
+filters=45
+#activation=linear
+activation=logistic
+
+[yolo]
+mask = 0,1,2
+anchors =  7, 14,  17, 21,  11, 38,  31, 40,  21, 84,  57, 69,  87,130, 148,198, 215,337
+classes=10
+num=9
+jitter=.3
+scale_x_y = 2.0
+ignore_thresh = .5
+truth_thresh = 1
+#random=1
+resize=1.5
+new_coords=1
+counters_per_class=8, 2, 2, 1, 2, 1, 8, 1, 8, 4
+cls_normalizer=0.25
+iou_normalizer=0.05
+iou_loss=ciou
+
+# P4
+[route]
+layers = 91
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=256
+activation=relu
+
+[convolutional]
+##sparse=1
+size=1
+stride=1
+pad=1
+filters=45
+#activation=linear
+activation=logistic
+
+[yolo]
+mask = 3,4,5
+anchors =  7, 14,  17, 21,  11, 38,  31, 40,  21, 84,  57, 69,  87,130, 148,198, 215,337
+classes=10
+num=9
+jitter=.3
+scale_x_y = 2.0
+ignore_thresh = .5
+truth_thresh = 1
+resize=1.5
+new_coords=1
+counters_per_class=8, 2, 2, 1, 2, 1, 8, 1, 8, 4
+cls_normalizer=0.25
+iou_normalizer=0.05
+iou_loss=ciou
+
+
+# P5
+[route]
+layers = 102
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=512
+activation=relu
+
+[convolutional]
+##sparse=1
+size=1
+stride=1
+pad=1
+filters=45
+#activation=linear
+activation=logistic
+
+[yolo]
+mask = 6,7,8
+anchors =  7, 14,  17, 21,  11, 38,  31, 40,  21, 84,  57, 69,  87,130, 148,198, 215,337
+classes=10
+num=9
+jitter=.3
+scale_x_y = 2.0
+ignore_thresh = .5
+truth_thresh = 1
+resize=1.5
+new_coords=1
+counters_per_class=8, 2, 2, 1, 2, 1, 8, 1, 8, 4
+cls_normalizer=0.25
+iou_normalizer=0.05
+iou_loss=ciou
+

models/driving/lightnet-driving-640x640.weights

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:15f10592b8ed79a1573a90f09eec3175ccb708217c6b312ea454124a244bb418
+size 36085680

models/face/lightnet-face-1024x768.cfg

@@ -0,0 +1,909 @@
+[net]
+batch=256
+subdivisions=64
+width=1024
+height=768
+channels=3
+momentum=0.9
+decay=0.0005
+angle=0
+saturation = 1.5
+exposure = 1.5
+hue=.1
+
+learning_rate=0.001
+burn_in=100
+max_batches = 1000
+policy=steps
+
+steps=50,200,400,800
+scales=.5,.5,.5,.5
+gaussian_noise=1
+flip=1
+
+##sparse=1 : 2:4 structured sparsity
+
+[convolutional]
+batch_normalize=1
+filters=32
+size=3
+stride=2
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=2
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=2
+pad=1
+activation=relu
+
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=2
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=2
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=relu
+
+
+##################################
+
+### ASPPCSP ###
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+### ASPP ###
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+dilation=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+dilation=3
+activation=relu
+
+[route]
+layers=-4
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+dilation=5
+activation=relu
+
+[route]
+layers=-1,-3,-5,-6
+### End ASPP ###
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -10,-1
+
+# 44
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+### End ASPPCSP ###
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[upsample]
+stride=2
+
+[route]
+layers = 30
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+
+# 56
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[upsample]
+stride=2
+
+[route]
+layers = 20
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=2
+pad=1
+filters=128
+activation=relu
+
+[route]
+layers = -1,67
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=2
+pad=1
+filters=256
+activation=relu
+
+[route]
+layers = -1,53
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+#############################
+
+# ============ End of Neck ============ #
+
+# ============ Head ============ #
+
+
+# P3
+[route]
+layers = 80
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=128
+activation=relu
+
+[convolutional]
+##sparse=1
+size=1
+stride=1
+pad=1
+filters=18
+#activation=linear
+activation=logistic
+
+[yolo]
+mask = 0,1,2
+anchors =   7,  8,  12, 16,  20, 28,  33, 45,  53, 70,  92,110, 151,187, 268,292, 451,446
+classes=1
+num=9
+jitter=.3
+scale_x_y = 2.0
+ignore_thresh = .5
+truth_thresh = 1
+#random=1
+resize=1.5
+new_coords=1
+iou_normalizer=0.05
+# iou_loss=ciou
+
+# P4
+[route]
+layers = 91
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=256
+activation=relu
+
+[convolutional]
+##sparse=1
+size=1
+stride=1
+pad=1
+filters=18
+#activation=linear
+activation=logistic
+
+[yolo]
+mask = 3,4,5
+anchors =   7,  8,  12, 16,  20, 28,  33, 45,  53, 70,  92,110, 151,187, 268,292, 451,446
+classes=1
+num=9
+jitter=.3
+scale_x_y = 2.0
+ignore_thresh = .5
+truth_thresh = 1
+resize=1.5
+new_coords=1
+iou_normalizer=0.05
+# iou_loss=ciou
+
+
+# P5
+[route]
+layers = 102
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=512
+activation=relu
+
+[convolutional]
+##sparse=1
+size=1
+stride=1
+pad=1
+filters=18
+#activation=linear
+activation=logistic
+
+[yolo]
+mask = 6,7,8
+anchors =   7,  8,  12, 16,  20, 28,  33, 45,  53, 70,  92,110, 151,187, 268,292, 451,446
+classes=1
+num=9
+jitter=.3
+scale_x_y = 2.0
+ignore_thresh = .5
+truth_thresh = 1
+resize=1.5
+new_coords=1
+iou_normalizer=0.05
+# iou_loss=ciou
+

models/face/lightnet-face-1024x768.weights

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f30f7de49613a418daedfc5dcb118b85eef5e3662daa80b803fe87f8303a9649
+size 35988588

models/face/lightnet-face-640x640.cfg

@@ -0,0 +1,908 @@
+[net]
+batch=8
+width=640
+height=640
+channels=3
+momentum=0.9
+decay=0.0005
+angle=0
+saturation = 1.5
+exposure = 1.5
+hue=.1
+
+learning_rate=0.001
+burn_in=500
+max_batches = 483000
+policy=steps
+
+steps=24000,96000,192000,384000
+scales=.5,.5,.5,.5
+gaussian_noise=1
+flip=1
+
+##sparse=1 : 2:4 structured sparsity
+
+[convolutional]
+batch_normalize=1
+filters=32
+size=3
+stride=2
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=2
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=2
+pad=1
+activation=relu
+
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=2
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=2
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=relu
+
+
+##################################
+
+### ASPPCSP ###
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+### ASPP ###
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+dilation=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+dilation=3
+activation=relu
+
+[route]
+layers=-4
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+dilation=5
+activation=relu
+
+[route]
+layers=-1,-3,-5,-6
+### End ASPP ###
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -10,-1
+
+# 44
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+### End ASPPCSP ###
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[upsample]
+stride=2
+
+[route]
+layers = 30
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+
+# 56
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[upsample]
+stride=2
+
+[route]
+layers = 20
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=2
+pad=1
+filters=128
+activation=relu
+
+[route]
+layers = -1,67
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=2
+pad=1
+filters=256
+activation=relu
+
+[route]
+layers = -1,53
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+#############################
+
+# ============ End of Neck ============ #
+
+# ============ Head ============ #
+
+
+# P3
+[route]
+layers = 80
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=128
+activation=relu
+
+[convolutional]
+##sparse=1
+size=1
+stride=1
+pad=1
+filters=18
+#activation=linear
+activation=logistic
+
+[yolo]
+mask = 0,1,2
+anchors =  4,  7,   7, 14,  12, 23,  20, 36,  32, 56,  54, 86,  84,145, 148,218, 254,338
+classes=1
+num=9
+jitter=.3
+scale_x_y = 2.0
+ignore_thresh = .5
+truth_thresh = 1
+#random=1
+resize=1.5
+new_coords=1
+iou_normalizer=0.05
+iou_loss=ciou
+
+# P4
+[route]
+layers = 91
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=256
+activation=relu
+
+[convolutional]
+##sparse=1
+size=1
+stride=1
+pad=1
+filters=18
+#activation=linear
+activation=logistic
+
+[yolo]
+mask = 3,4,5
+anchors =  4,  7,   7, 14,  12, 23,  20, 36,  32, 56,  54, 86,  84,145, 148,218, 254,338
+classes=1
+num=9
+jitter=.3
+scale_x_y = 2.0
+ignore_thresh = .5
+truth_thresh = 1
+resize=1.5
+new_coords=1
+iou_normalizer=0.05
+iou_loss=ciou
+
+
+# P5
+[route]
+layers = 102
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=512
+activation=relu
+
+[convolutional]
+##sparse=1
+size=1
+stride=1
+pad=1
+filters=18
+#activation=linear
+activation=logistic
+
+[yolo]
+mask = 6,7,8
+anchors =  4,  7,   7, 14,  12, 23,  20, 36,  32, 56,  54, 86,  84,145, 148,218, 254,338
+classes=1
+num=9
+jitter=.3
+scale_x_y = 2.0
+ignore_thresh = .5
+truth_thresh = 1
+resize=1.5
+new_coords=1
+iou_normalizer=0.05
+iou_loss=ciou
+

models/face/lightnet-face-640x640.weights

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0de31ac46e9508d75efb4b6b96d8d85056681a1b16caca251354d150a86f4308
+size 35988588

models/face/wider_face.data

@@ -0,0 +1,5 @@
+classes = 1
+train =
+valid =
+names = face/wider_face.names
+backup =

models/face/wider_face.names

@@ -0,0 +1 @@
+face

models/head_body-visible/lightnet-head_visiblebody-1024x768.weights

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7b6277c81131cffd17bae17f008f2d68078b0a68d4e304b906219191992658ac
+size 35999376

models/head_body-visible/lightnet-head_visiblebody-640x640.weights

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a1b87bacac88362676240e0ca70eb6ff93adadc16a1086f5a071bb1e84b47b87
+size 35999376

models/head_body/crowdhuman.data

@@ -0,0 +1,5 @@
+classes = 2
+train =
+valid =
+names = head_body/crowdhuman.names
+backup =

models/head_body/crowdhuman.names

@@ -0,0 +1,2 @@
+head
+body

models/head_body/lightnet-head_body-1024x768.cfg

@@ -0,0 +1,909 @@
+[net]
+batch=256
+subdivisions=16
+width=1024
+height=768
+channels=3
+momentum=0.9
+decay=0.0005
+angle=0
+saturation = 1.5
+exposure = 1.5
+hue=.1
+
+learning_rate=0.001
+burn_in=50
+max_batches = 2000
+policy=steps
+
+steps=100,400,800,1600
+scales=.5,.5,.5,.5
+gaussian_noise=1
+flip=1
+
+##sparse=1 : 2:4 structured sparsity
+
+[convolutional]
+batch_normalize=1
+filters=32
+size=3
+stride=2
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=2
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=2
+pad=1
+activation=relu
+
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=2
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=2
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=relu
+
+
+##################################
+
+### ASPPCSP ###
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+### ASPP ###
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+dilation=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+dilation=3
+activation=relu
+
+[route]
+layers=-4
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+dilation=5
+activation=relu
+
+[route]
+layers=-1,-3,-5,-6
+### End ASPP ###
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -10,-1
+
+# 44
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+### End ASPPCSP ###
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[upsample]
+stride=2
+
+[route]
+layers = 30
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+
+# 56
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[upsample]
+stride=2
+
+[route]
+layers = 20
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=2
+pad=1
+filters=128
+activation=relu
+
+[route]
+layers = -1,67
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=2
+pad=1
+filters=256
+activation=relu
+
+[route]
+layers = -1,53
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+#############################
+
+# ============ End of Neck ============ #
+
+# ============ Head ============ #
+
+
+# P3
+[route]
+layers = 80
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=128
+activation=relu
+
+[convolutional]
+##sparse=1
+size=1
+stride=1
+pad=1
+filters=21
+#activation=linear
+activation=logistic
+
+[yolo]
+mask = 0,1,2
+anchors =   8, 11,  20, 31,  34, 66,  64, 93,  54,184, 120,174,  97,334, 176,448, 344,564
+classes=2
+num=9
+jitter=.3
+scale_x_y = 2.0
+ignore_thresh = .5
+truth_thresh = 1
+#random=1
+resize=1.5
+new_coords=1
+iou_normalizer=0.05
+# iou_loss=ciou
+
+# P4
+[route]
+layers = 91
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=256
+activation=relu
+
+[convolutional]
+##sparse=1
+size=1
+stride=1
+pad=1
+filters=21
+#activation=linear
+activation=logistic
+
+[yolo]
+mask = 3,4,5
+anchors =   8, 11,  20, 31,  34, 66,  64, 93,  54,184, 120,174,  97,334, 176,448, 344,564
+classes=2
+num=9
+jitter=.3
+scale_x_y = 2.0
+ignore_thresh = .5
+truth_thresh = 1
+resize=1.5
+new_coords=1
+iou_normalizer=0.05
+# iou_loss=ciou
+
+
+# P5
+[route]
+layers = 102
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=512
+activation=relu
+
+[convolutional]
+##sparse=1
+size=1
+stride=1
+pad=1
+filters=21
+#activation=linear
+activation=logistic
+
+[yolo]
+mask = 6,7,8
+anchors =   8, 11,  20, 31,  34, 66,  64, 93,  54,184, 120,174,  97,334, 176,448, 344,564
+classes=2
+num=9
+jitter=.3
+scale_x_y = 2.0
+ignore_thresh = .7
+truth_thresh = 1
+resize=1.5
+new_coords=1
+iou_normalizer=0.05
+iou_loss=ciou
+

models/head_body/lightnet-head_body-1024x768.weights

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:84755400efafae3aec449b9ed5104e7e90302adfcb9549f8d43becdac23e6cbf
+size 35999376

models/head_body/lightnet-head_body-640x640.cfg

@@ -0,0 +1,909 @@
+[net]
+batch=64
+subdivisions=4
+width=640
+height=640
+channels=3
+momentum=0.9
+decay=0.0005
+angle=0
+saturation = 1.5
+exposure = 1.5
+hue=.1
+
+learning_rate=0.001
+burn_in=500
+max_batches = 70000
+policy=steps
+
+steps=12000,24000,35000,50000
+scales=.5,.5,.5,.5
+gaussian_noise=1
+flip=1
+
+##sparse=1 : 2:4 structured sparsity
+
+[convolutional]
+batch_normalize=1
+filters=32
+size=3
+stride=2
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=2
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=2
+pad=1
+activation=relu
+
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=2
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=2
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=relu
+
+
+##################################
+
+### ASPPCSP ###
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+### ASPP ###
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+dilation=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+dilation=3
+activation=relu
+
+[route]
+layers=-4
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+dilation=5
+activation=relu
+
+[route]
+layers=-1,-3,-5,-6
+### End ASPP ###
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -10,-1
+
+# 44
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+### End ASPPCSP ###
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[upsample]
+stride=2
+
+[route]
+layers = 30
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+
+# 56
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[upsample]
+stride=2
+
+[route]
+layers = 20
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=2
+pad=1
+filters=128
+activation=relu
+
+[route]
+layers = -1,67
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=2
+pad=1
+filters=256
+activation=relu
+
+[route]
+layers = -1,53
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers=-2
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=relu
+
+[route]
+layers = -1,-3,-5,-7
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=relu
+
+#############################
+
+# ============ End of Neck ============ #
+
+# ============ Head ============ #
+
+
+# P3
+[route]
+layers = 80
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=128
+activation=relu
+
+[convolutional]
+##sparse=1
+size=1
+stride=1
+pad=1
+filters=21
+#activation=linear
+activation=logistic
+
+[yolo]
+mask = 0,1,2
+anchors =   5, 10,  13, 29,  23, 62,  32,139,  52, 92,  54,232,  94,270, 109,436, 225,477
+classes=2
+num=9
+jitter=.3
+scale_x_y = 2.0
+ignore_thresh = .5
+truth_thresh = 1
+#random=1
+resize=1.5
+new_coords=1
+iou_normalizer=0.05
+# iou_loss=ciou
+
+# P4
+[route]
+layers = 91
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=256
+activation=relu
+
+[convolutional]
+##sparse=1
+size=1
+stride=1
+pad=1
+filters=21
+#activation=linear
+activation=logistic
+
+[yolo]
+mask = 3,4,5
+anchors =   5, 10,  13, 29,  23, 62,  32,139,  52, 92,  54,232,  94,270, 109,436, 225,477
+classes=2
+num=9
+jitter=.3
+scale_x_y = 2.0
+ignore_thresh = .5
+truth_thresh = 1
+resize=1.5
+new_coords=1
+iou_normalizer=0.05
+# iou_loss=ciou
+
+
+# P5
+[route]
+layers = 102
+
+[convolutional]
+#sparse=1
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=512
+activation=relu
+
+[convolutional]
+##sparse=1
+size=1
+stride=1
+pad=1
+filters=21
+#activation=linear
+activation=logistic
+
+[yolo]
+mask = 6,7,8
+anchors =   5, 10,  13, 29,  23, 62,  32,139,  52, 92,  54,232,  94,270, 109,436, 225,477
+classes=2
+num=9
+jitter=.3
+scale_x_y = 2.0
+ignore_thresh = .7
+truth_thresh = 1
+resize=1.5
+new_coords=1
+iou_normalizer=0.05
+iou_loss=ciou
+

models/head_body/lightnet-head_body-640x640.weights

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:99947766f6f6f001811e7d4b3bd0e54ab073c30947df986c6e4daae32bd87d49
+size 35999376

models/path.json

@@ -0,0 +1,50 @@
+{
+    "driving": {
+        "640x640": {
+            "cfg": "driving/lightnet-driving-640x640.cfg",
+            "weights": "driving/lightnet-driving-640x640.weights",
+            "data": "driving/bdd100k.data"
+        },
+        "1280x960": {
+            "cfg": "driving/lightnet-driving-1280x960.cfg",
+            "weights": "driving/lightnet-driving-1280x960.weights",
+            "data": "driving/bdd100k.data"
+        }
+    },
+    "face": {
+        "640x640": {
+            "cfg": "face/lightnet-face-640x640.cfg",
+            "weights": "face/lightnet-face-640x640.weights",
+            "data": "face/wider_face.data"
+        },
+        "1024x768": {
+            "cfg": "face/lightnet-face-1024x768.cfg",
+            "weights": "face/lightnet-face-1024x768.weights",
+            "data": "face/wider_face.data"
+        }
+    },
+    "head_body": {
+        "640x640": {
+            "cfg": "head_body/lightnet-head_body-640x640.cfg",
+            "weights": "head_body/lightnet-head_body-640x640.weights",
+            "data": "head_body/crowdhuman.data"
+        },
+        "1024x768": {
+            "cfg": "head_body/lightnet-head_body-1024x768.cfg",
+            "weights": "head_body/lightnet-head_body-1024x768.weights",
+            "data": "head_body/crowdhuman.data"
+        }
+    },
+    "head_body-visible": {
+        "640x640": {
+            "cfg": "head_body-visible/lightnet-head_visiblebody-640x640.weights",
+            "weights": "head_body/lightnet-head_body-640x640.weights",
+            "data": "head_body/crowdhuman.data"
+        },
+        "1024x768": {
+            "cfg": "head_body-visible/lightnet-head_visiblebody-1024x768.weights",
+            "weights": "head_body/lightnet-head_body-1024x768.weights",
+            "data": "head_body/crowdhuman.data"
+        }
+    }
+}

yolo-lightnet

@@ -1 +0,0 @@
-Subproject commit 5886db6c8f20940ef9219a105272bc9f1c60c49e