HRNet-Semantic-Segmentation
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HRNet
Question about the function "eval"?
When i run the code to
test_dataset = eval('datasets.'+config.DATASET.DATASET)( root=config.DATASET.ROOT, list_path=config.DATASET.TEST_SET, num_samples=None, num_classes=config.DATASET.NUM_CLASSES, multi_scale=False, flip=False, ignore_label=config.TRAIN.IGNORE_LABEL, base_size=config.TEST.BASE_SIZE, crop_size=test_size, downsample_rate=1)
what the function of eval? i cannot find any information about it, and i met the problem "EOFError: Ran out of input" in
for index, batch in enumerate(tqdm(testloader)): image, label, _, name, *border_padding = batch size = label.size()
which means the testloader doesnot contain any data. But i can not debug it for i don't know the function of eval.
Eval is a python built-in function. As detailed here, the eval() method parses the expression passed to this method and runs python expression within the program.
Basically, eval will run the function named by the string config.DATASET.DATASET defined in datasets.py
