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i have already trained the model,but when i run test.py,the result such as fllows=> ground truth of Camera_601-Snapshot-20180927144931-848388141355.JPG:
good_product 181 134 615 575
=> predict result of Camera_601-Snapshot-20180927144931-848388141355.JPG:
=> ground truth of Camera_601-Snapshot-20180927144935-848395649200.JPG:
good_product 241 83 684 528
=> predict result of Camera_601-Snapshot-20180927144935-848395649200.JPG:
The text was updated successfully, but these errors were encountered:
i have already trained the model,but when i run test.py,the result such as fllows=> ground truth of Camera_601-Snapshot-20180927144931-848388141355.JPG: good_product 181 134 615 575 => predict result of Camera_601-Snapshot-20180927144931-848388141355.JPG:
=> ground truth of Camera_601-Snapshot-20180927144935-848395649200.JPG: good_product 241 83 684 528 => predict result of Camera_601-Snapshot-20180927144935-848395649200.JPG:
@zhangwenbo681 After you have ran test.py, then check the tested image by the trained model in the path ./result_output/eval_detection.
i have already trained the model,but when i run test.py,the result such as fllows=> ground truth of Camera_601-Snapshot-20180927144931-848388141355.JPG:
good_product 181 134 615 575
=> predict result of Camera_601-Snapshot-20180927144931-848388141355.JPG:
=> ground truth of Camera_601-Snapshot-20180927144935-848395649200.JPG:
good_product 241 83 684 528
=> predict result of Camera_601-Snapshot-20180927144935-848395649200.JPG:
The text was updated successfully, but these errors were encountered: