added model.pkl

detector.py

@@ -52,21 +52,11 @@ def crop_bat(img, box):
     bat_crop = img[crop_x1: crop_x2, crop_y1: crop_y2]
 
     return bat_crop
-    
-def find_bats(allImgs):
-    batDepthMin, batDepthMax = 50, 400
-    cropped_bats = []
-
-    for img in allImgs:
-        blobs = cv.findContours(img[1], cv.RETR_LIST, cv.CHAIN_APPROX_SIMPLE)[-2]
-        cropped_bats.extend([crop_bat(img[0], np.int0(cv.boxPoints(cv.minAreaRect(blob)))) for blob in blobs if batDepthMin < cv.contourArea(blob) < batDepthMax]) 
-                               
-    return cropped_bats
 
 def find_bats(allImgs):
     total_bats, batDepthMin,batDepthMax = 0, 50, 400
     allImgAfter = []
-    learn = load_learner("model_densenet_zeros.pkl")
+    learn = load_learner("model.pkl")
 
     for img in allImgs:
         blobs = cv.findContours(img[1], cv.RETR_LIST, cv.CHAIN_APPROX_SIMPLE)[-2]

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a698e2165ecc0b8ecbc238d7ea72c250023cf6af034b31a7108e04268656bbe0
+size 102895971