In this step, we test our detector on cat and dog images and videos located in CarPartsDetectionChallenge/Data/Source_Images/Test_Images. If you like to test the detector on your own images or videos, place them in the Test_Images folder.
To detect objects run the detector script from within the CarPartsDetectionChallenge/3_Inference directory:.
python Detector.py
The outputs are saved to CarPartsDetectionChallenge/Data/Source_Images/Test_Image_Detection_Results. The outputs include the original images with bounding boxes and confidence scores as well as a file called Detection_Results.csv containing the image file paths and the bounding box coordinates. For videos, the output files are videos with bounding boxes and confidence scores. To list available command line options run python Detector.py -h.
Congratulations on building Car Part Detector using YOLOv3.
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