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You can use torch to save and load model! import torch torch.save(clf_model, "./model_1") # To load clf_model = torch.load("./model_1")

YOLOv7 in rtx3090, img-size 640 Done. (4.7ms) Inference, (0.4ms) NMS

I used but not active . Example date=((2010, 3, 20), (2012, 3, 20))) date=((2012, 3, 20), (2014, 3, 20))) date=((2014, 3, 20), (2016, 3, 20))) ... i should use bing...

> Its amazing its working! thanks i use these code: > return 1 to fake photo and 0 in real face [face cropped required] > > the next code print...

I am using yolov7-tiny to train license plate data. I see in my dataset that img-size 128 has a much worse result than img-size 256, even though the input image...

you can use https://pypi.org/project/icrawler/ replace

In terminal, you can add export or add to bashrc after update bashrc ` export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libffi.so.7 `