<jupyter_start><jupyter_text>This notebook runs an example batch classification of images and stores the results in a json file. The intention is to showcase the functionality in jupyter-repo2docker.<jupyter_code>! python batch.py -i parts_vehicles/ -s results.json -f<jupyter_output>INFO:root:processing parts_vehicles/55386_0.png
INFO:root:input_path: parts_vehicles/55386_0.png, clearness_score: 8.090896459538072, blurry: False, contrast_score: 0.4646756862745098, low_contrast: False
INFO:root:processing parts_vehicles/22595_0.png
INFO:root:input_path: parts_vehicles/22595_0.png, clearness_score: 9.398855830429769, blurry: False, contrast_score: 0.380392156862745, low_contrast: False
INFO:root:processing parts_vehicles/27055_0.png
INFO:root:input_path: parts_vehicles/27055_0.png, clearness_score: 4.958490437839817, blurry: True, contrast_score: 0.4289617647058823, low_contrast: False
INFO:root:processing parts_vehicles/92676_0.png
INFO:root:input_path: parts_vehicles/92676_0.png, clearness_score: 13.800132987037399, blurry: False, contrast_score: 0.36161058823529413, low_contrast: False
INFO:root:processing parts_vehicles/70364_0.png
INFO:root:input_path: parts_vehicles/70364_0.png, clearness_score: 0.8366829248731681, blurry: True, contrast_score: 0.3669433333333[...]
{'fraction_non_alphanumeric': 0.0899922420480993, 'fraction_numerical': 0.17455391776570986, 'mean_word_length': 8.772727272727273, 'pattern_counts': {'":': 0, '<': 4, '<?xml version=': 0, '>': 4, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 1, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '456921', 'license': 'MIT', 'n_tokens_mistral': 596, 'n_tokens_neox': 459, 'n_words': 90, 'path': 'run_example.ipynb', 'repo_name': 'AndreasMerentitis/detect-contrast-blurriness', 'size': '1289'}