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argusswift / YOLOv4-pytorch

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Subdivision seems buggy

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jingtianyilong
jingtianyilong commented Oct 22, 2020

Great work by @argusswift
I forked this repo and did some modifications to suit my case better. (You can also check my repo :-) )But the training part remains mostly the same. And I came across problem when playing with subdivision.
I assume the accumulate in the training works the same se subdivision as is in the original darknet-yolov4.
Basically you use this trick to enlarge the effec

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bug documentation enhancement good first issue

PINTO0309 / PINTO_model_zoo

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A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin]

tensorflow dbface quantization super-resolution coreml posenet sound-classification tensorflow-lite deeplabv3 tensorflowjs openvino edgetpu mobilenetv3 mediapipe blazeface efficientdet facemesh objectron blazepose tf-trt
  • Updated Nov 24, 2020
  • Python

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