ArtyZe / yolov3_lite

yolov3 model compress and acceleration (quantization, sparse), c++ version

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Predictions are not drawing after testing trained model

ashank-art opened this issue · comments

@ArtyZe Predictions are not drawing on the image after testing a newly trained model, is there any file that will store the predictions??

@ashank-art
Natuerlich :) It's same with the normal Yolo, you can see the result in prediction.png

@ArtyZe ..thanks for your prompt reply!
The prediction.png image does not have any bounding box predictions. It is the same as the original image.

@ashank-art
can you show me your train log? what is the loss value when you finish your train process?

@ArtyZe even i am facing he same issue. Just wanted to know should we train the custom model from scratch with the darknet weights or unpruned weights

@ArtyZe the quantization applied is only for CPU or we could be using for GPU platform also ,
has the model size reduced ?

@ArtyZe thanks for instant response as always . I am training your code base with custom data, i shall just have a look into it if am able to run it on GPU, the intention is wanted to run the model with high fps in gpu also