hacktmz
hacktmz
`import argparse from pathlib import Path import torch from torch.nn import CrossEntropyLoss from torch.utils.data import DataLoader from rotate_captcha_crack.common import device from rotate_captcha_crack.dataset import ImgTsSeqFromPath, RotDataset, from_google_streetview, from_pcgs_pics from rotate_captcha_crack.helper import...
添加了50000张不同钱币图片用于训练,但是loss还是只有0.6降不下去了。传统的特征点匹配的方法已经尝试了,因为每个钱币色泽和新旧磨损不一样,所以并不好用
改成RotNet LOSS就下来了
然后官方的解码demo 是这样写的,里面的api为什么跟pynvjpeg完全不一样 int decode_images(const FileData &img_data, const std::vector &img_len, std::vector &out, decode_params_t ¶ms, double &time) { CHECK_CUDA(cudaStreamSynchronize(params.stream)); cudaEvent_t startEvent = NULL, stopEvent = NULL; float loopTime = 0; CHECK_CUDA(cudaEventCreate(&startEvent, cudaEventBlockingSync));...