格式参考以下链接 ：https://modelscope.cn/docs/%E6%95%B0%E6%8D%AE%E9%9B%86%E7%9A%84%E5%...
dataset = {} dataset['train_img'] = _load_img(key_file['train_img']) dataset['train_label'] = _load_label(key_file['train_label']) dataset['test_img'] = _load_img(key_file['test_img']) dataset['test_label'] = _load_label(key_file['test_label']) return datasetdef init...
格式参考以下链接 :https://modelscope.cn/docs/%E6%95%B0%E6%8D%AE%E9%9B%86%E7%9A%84%E5%88%9B%E5%BB%BA#2%E3%80%81%E5%9B%BE%E5%83%8F%E4%B8%8E%E8%A7%86%E9%A2%91%E7%B1%BB%E5%9E%8B 此回答整理自钉群“魔搭ModelScope开发者联盟群 ①”" 2024-05-15 22:07:05 赞同 1 ...
dataset['train_img'] = _load_img(key_file['train_img']) dataset['train_label'] = _load_label(key_file['train_label']) dataset['test_img'] = _load_img(key_file['test_img']) dataset['test_label'] = _load_label(key_file['test_label']) return dataset def init_mnist(): downl...
dataset['train_label'] = _load_label(key_file['train_label']) dataset['test_img'] = _load_img(key_file['test_img']) dataset['test_label'] = _load_label(key_file['test_label']) return dataset def init_mnist(): download_mnist() ...
pickle.dump(dataset, f, -1) print("Done!") def _change_one_hot_label(X): T = np.zeros((X.size, 10)) for idx, row in enumerate(T): row[X[idx]] = 1 return T def load_mnist(normalize=True, flatten=True, one_hot_label=False): ...