Commit
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a12698f
1
Parent(s):
d55c326
Update ci-testing.yml reflecting sys.path additions (#869)
Browse files* Update ci-testing.yml
* Update yolo.py
* Update ci-testing.yml
* Update export.py
* Update yolo.py
- .github/workflows/ci-testing.yml +4 -4
- models/export.py +3 -3
- models/yolo.py +4 -2
.github/workflows/ci-testing.yml
CHANGED
@@ -53,13 +53,13 @@ jobs:
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- name: Download data
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run: |
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curl -L -o
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unzip -q
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rm
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- name: Tests workflow
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run: |
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export PYTHONPATH="$PWD" # to run *.py
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di=cpu # inference devices # define device
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# train
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- name: Download data
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run: |
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# curl -L -o tmp.zip https://github.com/ultralytics/yolov5/releases/download/v1.0/coco128.zip
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# unzip -q tmp.zip -d ../
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# rm tmp.zip
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- name: Tests workflow
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run: |
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# export PYTHONPATH="$PWD" # to run '$ python *.py' files in subdirectories
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di=cpu # inference devices # define device
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# train
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models/export.py
CHANGED
@@ -5,13 +5,13 @@ Usage:
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"""
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import argparse
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import torch
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import torch.nn as nn
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import sys
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sys.path.append('./')
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-
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import models
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from models.experimental import attempt_load
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from utils.activations import Hardswish
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"""
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import argparse
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import sys
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sys.path.append('./') # to run '$ python *.py' files in subdirectories
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import torch
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import torch.nn as nn
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import models
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from models.experimental import attempt_load
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from utils.activations import Hardswish
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models/yolo.py
CHANGED
@@ -1,9 +1,13 @@
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import argparse
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import logging
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import math
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from copy import deepcopy
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from pathlib import Path
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import torch
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import torch.nn as nn
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@@ -13,8 +17,6 @@ from utils.general import check_anchor_order, make_divisible, check_file, set_lo
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from utils.torch_utils import (
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time_synchronized, fuse_conv_and_bn, model_info, scale_img, initialize_weights, select_device)
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logger = logging.getLogger(__name__)
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-
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class Detect(nn.Module):
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stride = None # strides computed during build
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import argparse
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import logging
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import math
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+
import sys
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from copy import deepcopy
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from pathlib import Path
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sys.path.append('./') # to run '$ python *.py' files in subdirectories
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logger = logging.getLogger(__name__)
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+
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import torch
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import torch.nn as nn
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from utils.torch_utils import (
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time_synchronized, fuse_conv_and_bn, model_info, scale_img, initialize_weights, select_device)
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class Detect(nn.Module):
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stride = None # strides computed during build
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