from tqdm import tqdm 2. 确保test_loader是一个可迭代对象 test_loader通常是一个数据加载器(DataLoader),它是PyTorch中用于加载数据集的常用方式。它实现了__iter__方法,因此是一个可迭代对象。在您的代码中,您应该已经创建了一个这样的数据加载器,并假设它已经被命名为test_loader。 3. 使用for循环遍历test...
rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023) - rPPG-Toolbox/dataset/data_loader/BaseLoader.py at cf0c09419b9436a9395111dbd05703146b3ab471 · ubicomplab/rPPG-Toolbox
pbar = tqdm(total=500)foriteration, (images, targets, _)inenumerate(data_loader,1): images = images.to(device) targets = [target.to(device)fortargetintargets]withtorch.no_grad(): loss_dict = model(images, targets, rngs) pbar.update(1)ifiteration >=500:breakpbar.close()returnmodel ...
[] for i, im_path in tqdm(enumerate(self.dataset["im_path"]), total=len(self.dataset["im_path"])): im_id = cached_dataset["im_name"][i] im = im_reader(im_path) im, im_shp = im_preprocess(im,self.cache_size) im_cache_file = os.path.join(cache_folder,self.dataset[...
def __normalize_image(self, image): return image / 256 def __gen_datasets(self): # For each entry in dataset information dataframe for _, row in tqdm(self.img_files_info.iterrows()): img_file = row['img_file_path'] matting_file = row['lbl_file_path'] pickle_file = row['pickle...
MM-Office: multi-view and multi-modal dataset in an office environment - mm-office/sample_data_loader.py at main · nttrd-mdlab/mm-office
tqdm: 4.62.0 System: OS: Darwin architecture: 64bit processor: i386 python: 3.9.6 version: Darwin Kernel Version 20.4.0: Thu Apr 22 21:46:47 PDT 2021; root:xnu-7195.101.2~1/RELEASE_X86_64 Additional context Sorry if this behaviour is no longer supported ...