save_dir = increment_path(Path(project) / name, exist_ok=exist_ok) 这个是一个存储地址,但是是用了 / 直接拼接的,刚开始读的时候非常疑惑,然后发现原来作者用的并不是os.path,而是pathlib模块,该模块支持使用/来拼接多个字符串 比如: from pathlib import *path= Path('C://')print(path/'test.py')...
复制 ifrankin[-1,0]:# Plotsifplots:plot_results(save_dir=save_dir)# saveasresults.png # Test best.pt logger.info('%g epochs completed in %.3f hours.\n'%(epoch-start_epoch+1,(time.time()-t0)/3600))ifopt.data.endswith('coco.yaml')and nc==80:#ifCOCOformin(last,best)ifbest.ex...
save_dir=Path(increment_path(Path(opt.project)/opt.name,exist_ok=opt.exist_ok))# incrementrun(save_dir/'labels'ifsave_txtelsesave_dir).mkdir(parents=True,exist_ok=True)# make dir # Initializeset_logging()device=select_device(opt.device)half=device.type!='cpu'# half precision only suppor...
y.append(x if m.i in self.save else None) # save output if visualize: feature_visualization(x, m.type, m.i, save_dir=visualize) return x # 将推理结果恢复到原图图片尺寸(逆操作) def _descale_pred(self, p, flips, scale, img_size): # de-scale predictions following augmented inference...
1#Save run settings2ifnotevolve:3#--->>> 如果不使用进化训练,那么就保存hyp和opt两个参数文件4#yaml.safe_dump 函数是将一个python值转换为yaml格式文件5with open(save_dir /'hyp.yaml','w') as f:6yaml.safe_dump(hyp, f, sort_keys=False)7with open(save_dir /'opt.yaml','w') as f:...
save_one_box(xyxy, imc, file=save_dir /'crops'/ names[c] /f'{p.stem}.jpg', BGR=True) pred_cat, pred_cont = inference_emotic(im0, (int(xyxy[0]), int(xyxy[1]), int(xyxy[2]), int(xyxy[3]))) 这里我将原来的图片可视化做了些改变,将emotic的结果打印到图片上: ...
() ) dataloader=None, # 数据加载器 如果执行val.py就为None 如果执行train.py就会传入testloader save_dir=Path(''), # 文件保存路径 如果执行val.py就为‘’ , 如果执行train.py就会传入save_dir(runs/train/expn) plots=True, # 是否可视化 运行val.py传入,默认True callbacks=Callbacks(), # 回调...
parent path = (save_dir / self.name).with_suffix('.pt') # checkpoint path try: device = select_device(('0' if torch.cuda.is_available() else 'cpu') if self.device is None else self.device) if self.pretrained and self.channels == 3 and self.classes == 80: model = attempt_...
save_dir = increment_path(Path(project) / name, exist_ok=exist_ok) # increment run (save_dir / 'labels' if save_txt else save_dir).mkdir(parents=True, exist_ok=True) # make dir # Initialize set_logging() device = select_device(device) ...
= os.path.join(yolov5_labels_dir, "train/")if not os.path.isdir(yolov5_labels_train_dir): os.mkdir(yolov5_labels_train_dir)yolov5_labels_test_dir = os.path.join(yolov5_labels_dir, "val/")if not os.path.isdir(yolov5_labels_test_dir): os.mkdir(yolov5_labels_test_dir)tra...