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I trained original data on tensorflow YOLOV3, and convert to IR.
But it doesn't detect well comparing to original tensorflow YOLO.
Where should I change when modifying the number of class ?
(COCO dataset original: 80→change to 2class)
■My study
・YOLO model:https://github.com/mystic123/tensorflow-yolo-v3
・Training data: Original
・Convert IR:Refer https://software.intel.com/en-us/articles/OpenVINO-Using-TensorFlow
・Change: Coco.names: 80class → 2class (XXX, XXX)
Yolo_v3.json: classes 80→classes 2
→I think I should change other parameter or model architecture, so could you tell me where I should change ?
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Dear Akihito, I hope this thread is of value to you: (the original poster decided in the end that it "..was a mistake in the logic of preprocessing and postprocessing".)
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Also check this recent post. It seems pre-processing and post-processing is key.
https://software.intel.com/en-us/forums/computer-vision/topic/805531
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