Ultra-Light-Fast-Generic-Face-Detector-1MB
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Linzaer
💎1MB lightweight face detection model (1MB轻量级人脸检测模型)
您好！我认为数据增强部分RandomSampleCrop_v2函数中h，w设置有点问题。 1 for _ in range(50): 2 current_image = image 3 w = random.uniform(0.3 * width, width) 4 h = random.uniform(0.3 * height, height) 5 if h / w !=...
Hello Linzaer @Linzaer I've tried to use "version-RFB-640.onnx" model with "ultra_face_opencvdnn_inference.py" code but it gives me this error: cv2.error: OpenCV(4.1.0) C:\projects\opencv-python\opencv\modules\dnn\src\layers\slice_layer.cpp:147: error: (-215:Assertion failed) requiredOutputs > 0 && inpShape[axis] %...
I did following steps 1. Convert version-RFB-640.onnx to simplified version using onnx-simplifier python3 -m onnxsim version-RFB-640.onnx version-RFB-640_simplifed.onnx Simplifying... Checking 0/3... Checking 1/3... Checking 2/3... Ok! 2. Used this website to...
1 pc 转为caffe模型后，在caffe框架下测试，version-RFB-320测试带vino的时间比不带vino的时间慢了1倍，version-slim-320测试带vino的时间比不带vino的时间快了7倍多，请问测试正常吗？ 2 在caffe框架下测试，GPU的时间和CPU的时间基本差不多 请问这是什么原因那？
I have some troubles during the training of RFB with the dimension of 320x240. In particular I'm following all the steps for train on widerface (I have downloaded VOC dataset...
