зеркало из
https://github.com/ssciwr/AMMICO.git
synced 2025-10-30 21:46:04 +02:00
1 строка
48 KiB
JavaScript
1 строка
48 KiB
JavaScript
Search.setIndex({"alltitles": {"1. First, install tensorflow (https://www.tensorflow.org/install/pip)": [[7, "first-install-tensorflow-https-www-tensorflow-org-install-pip"]], "2. Second, install pytorch": [[7, "second-install-pytorch"]], "3. After we prepared right environment we can install the ammico package": [[7, "after-we-prepared-right-environment-we-can-install-the-ammico-package"]], "AMMICO - AI Media and Misinformation Content Analysis Tool": [[7, "ammico-ai-media-and-misinformation-content-analysis-tool"]], "AMMICO Demonstration Notebook": [[5, "AMMICO-Demonstration-Notebook"]], "AMMICO package modules": [[4, "ammico-package-modules"]], "BLIP2 models": [[5, "BLIP2-models"]], "Color analysis of pictures": [[5, "Color-analysis-of-pictures"]], "Color/hue detection": [[7, "color-hue-detection"]], "Compatibility problems solving": [[7, "compatibility-problems-solving"]], "Content extraction": [[7, "content-extraction"]], "Contents:": [[2, null]], "Crop posts module": [[6, "Crop-posts-module"]], "Cropping of posts": [[7, "cropping-of-posts"]], "Detection of faces and facial expression analysis": [[5, "Detection-of-faces-and-facial-expression-analysis"]], "Emotion recognition": [[7, "emotion-recognition"]], "Ethical disclosure statement": [[5, "Ethical-disclosure-statement"]], "FAQ": [[7, "faq"]], "Features": [[7, "features"]], "Formulate your search queries": [[5, "Formulate-your-search-queries"]], "Further detector modules": [[5, "Further-detector-modules"]], "Image Multimodal Search": [[5, "Image-Multimodal-Search"]], "Image summary and query": [[5, "Image-summary-and-query"]], "Import the ammico package.": [[5, "Import-the-ammico-package."]], "Improve the search results": [[5, "Improve-the-search-results"]], "Indexing and extracting features from images in selected folder": [[5, "Indexing-and-extracting-features-from-images-in-selected-folder"]], "Indices and tables": [[2, "indices-and-tables"]], "Installation": [[7, "installation"]], "Instructions how to generate and enable a google Cloud Vision API key": [[1, "instructions-how-to-generate-and-enable-a-google-cloud-vision-api-key"], [8, "instructions-how-to-generate-and-enable-a-google-cloud-vision-api-key"]], "License": [[3, "license"]], "Micromamba": [[7, "micromamba"]], "Read in a csv file containing text and translating/analysing the text": [[5, "Read-in-a-csv-file-containing-text-and-translating/analysing-the-text"]], "Save search results to csv": [[5, "Save-search-results-to-csv"]], "Step 0: Create and set a Google Cloud Vision Key": [[5, "Step-0:-Create-and-set-a-Google-Cloud-Vision-Key"]], "Step 1: Read your data into AMMICO": [[5, "Step-1:-Read-your-data-into-AMMICO"]], "Step 2: Inspect the input files using the graphical user interface": [[5, "Step-2:-Inspect-the-input-files-using-the-graphical-user-interface"]], "Step 3: Analyze all images": [[5, "Step-3:-Analyze-all-images"]], "Step 4: Convert analysis output to pandas dataframe and write csv": [[5, "Step-4:-Convert-analysis-output-to-pandas-dataframe-and-write-csv"]], "Text extraction": [[7, "text-extraction"]], "The detector modules": [[5, "The-detector-modules"]], "Usage": [[7, "usage"]], "Use a test dataset": [[5, "Use-a-test-dataset"]], "Welcome to AMMICO\u2019s documentation!": [[2, "welcome-to-ammico-s-documentation"]], "What happens if I don\u2019t have internet access - can I still use ammico?": [[7, "what-happens-if-i-don-t-have-internet-access-can-i-still-use-ammico"]], "What happens to the images that are sent to google Cloud Vision?": [[7, "what-happens-to-the-images-that-are-sent-to-google-cloud-vision"]], "What happens to the text that is sent to google Translate?": [[7, "what-happens-to-the-text-that-is-sent-to-google-translate"]], "Windows": [[7, "windows"]], "color_analysis module": [[0, "module-colors"]], "cropposts module": [[0, "module-cropposts"]], "display module": [[0, "module-display"]], "faces module": [[0, "module-faces"]], "multimodal search module": [[0, "module-multimodal_search"]], "summary module": [[0, "module-summary"]], "text module": [[0, "module-text"]], "utils module": [[0, "module-utils"]]}, "docnames": ["ammico", "create_API_key_link", "index", "license_link", "modules", "notebooks/DemoNotebook_ammico", "notebooks/Example cropposts", "readme_link", "set_up_credentials"], "envversion": {"nbsphinx": 4, "sphinx": 61, "sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2}, "filenames": ["ammico.rst", "create_API_key_link.md", "index.rst", "license_link.md", "modules.rst", "notebooks/DemoNotebook_ammico.ipynb", "notebooks/Example cropposts.ipynb", "readme_link.md", "set_up_credentials.md"], "indexentries": {"all_allowed_model_types (summary.summarydetector attribute)": [[0, "summary.SummaryDetector.all_allowed_model_types", false]], "allowed_analysis_types (summary.summarydetector attribute)": [[0, "summary.SummaryDetector.allowed_analysis_types", false]], "allowed_model_types (summary.summarydetector attribute)": [[0, "summary.SummaryDetector.allowed_model_types", false]], "allowed_new_model_types (summary.summarydetector attribute)": [[0, "summary.SummaryDetector.allowed_new_model_types", false]], "ammico_prefetch_models() (in module utils)": [[0, "utils.ammico_prefetch_models", false]], "analyse_image() (colors.colordetector method)": [[0, "colors.ColorDetector.analyse_image", false]], "analyse_image() (faces.emotiondetector method)": [[0, "faces.EmotionDetector.analyse_image", false]], "analyse_image() (summary.summarydetector method)": [[0, "summary.SummaryDetector.analyse_image", false]], "analyse_image() (text.textdetector method)": [[0, "text.TextDetector.analyse_image", false]], "analyse_image() (utils.analysismethod method)": [[0, "utils.AnalysisMethod.analyse_image", false]], "analyse_questions() (summary.summarydetector method)": [[0, "summary.SummaryDetector.analyse_questions", false]], "analyse_summary() (summary.summarydetector method)": [[0, "summary.SummaryDetector.analyse_summary", false]], "analyse_topic() (text.postprocesstext method)": [[0, "text.PostprocessText.analyse_topic", false]], "analysisexplorer (class in display)": [[0, "display.AnalysisExplorer", false]], "analysismethod (class in utils)": [[0, "utils.AnalysisMethod", false]], "analyze_single_face() (faces.emotiondetector method)": [[0, "faces.EmotionDetector.analyze_single_face", false]], "append_data_to_dict() (in module utils)": [[0, "utils.append_data_to_dict", false]], "check_for_missing_keys() (in module utils)": [[0, "utils.check_for_missing_keys", false]], "check_model() (summary.summarydetector method)": [[0, "summary.SummaryDetector.check_model", false]], "clean_subdict() (faces.emotiondetector method)": [[0, "faces.EmotionDetector.clean_subdict", false]], "clean_text() (text.textdetector method)": [[0, "text.TextDetector.clean_text", false]], "colordetector (class in colors)": [[0, "colors.ColorDetector", false]], "colors": [[0, "module-colors", false]], "compute_crop_corner() (in module cropposts)": [[0, "cropposts.compute_crop_corner", false]], "compute_gradcam_batch() (multimodal_search.multimodalsearch method)": [[0, "multimodal_search.MultimodalSearch.compute_gradcam_batch", false]], "crop_image_from_post() (in module cropposts)": [[0, "cropposts.crop_image_from_post", false]], "crop_media_posts() (in module cropposts)": [[0, "cropposts.crop_media_posts", false]], "crop_posts_from_refs() (in module cropposts)": [[0, "cropposts.crop_posts_from_refs", false]], "crop_posts_image() (in module cropposts)": [[0, "cropposts.crop_posts_image", false]], "cropposts": [[0, "module-cropposts", false]], "deepface_symlink_processor() (in module faces)": [[0, "faces.deepface_symlink_processor", false]], "display": [[0, "module-display", false]], "downloadresource (class in utils)": [[0, "utils.DownloadResource", false]], "draw_matches() (in module cropposts)": [[0, "cropposts.draw_matches", false]], "dump_df() (in module utils)": [[0, "utils.dump_df", false]], "emotiondetector (class in faces)": [[0, "faces.EmotionDetector", false]], "ethical_disclosure() (in module faces)": [[0, "faces.ethical_disclosure", false]], "extract_image_features_basic() (multimodal_search.multimodalsearch method)": [[0, "multimodal_search.MultimodalSearch.extract_image_features_basic", false]], "extract_image_features_blip2() (multimodal_search.multimodalsearch method)": [[0, "multimodal_search.MultimodalSearch.extract_image_features_blip2", false]], "extract_image_features_clip() (multimodal_search.multimodalsearch method)": [[0, "multimodal_search.MultimodalSearch.extract_image_features_clip", false]], "extract_text_features() (multimodal_search.multimodalsearch method)": [[0, "multimodal_search.MultimodalSearch.extract_text_features", false]], "faces": [[0, "module-faces", false]], "facial_expression_analysis() (faces.emotiondetector method)": [[0, "faces.EmotionDetector.facial_expression_analysis", false]], "find_files() (in module utils)": [[0, "utils.find_files", false]], "get() (utils.downloadresource method)": [[0, "utils.DownloadResource.get", false]], "get_att_map() (multimodal_search.multimodalsearch method)": [[0, "multimodal_search.MultimodalSearch.get_att_map", false]], "get_color_table() (in module utils)": [[0, "utils.get_color_table", false]], "get_dataframe() (in module utils)": [[0, "utils.get_dataframe", false]], "get_pathes_from_query() (multimodal_search.multimodalsearch method)": [[0, "multimodal_search.MultimodalSearch.get_pathes_from_query", false]], "get_text_df() (text.postprocesstext method)": [[0, "text.PostprocessText.get_text_df", false]], "get_text_dict() (text.postprocesstext method)": [[0, "text.PostprocessText.get_text_dict", false]], "get_text_from_image() (text.textdetector method)": [[0, "text.TextDetector.get_text_from_image", false]], "image_text_match_reordering() (multimodal_search.multimodalsearch method)": [[0, "multimodal_search.MultimodalSearch.image_text_match_reordering", false]], "initialize_dict() (in module utils)": [[0, "utils.initialize_dict", false]], "is_interactive() (in module utils)": [[0, "utils.is_interactive", false]], "iterable() (in module utils)": [[0, "utils.iterable", false]], "itm_text_precessing() (multimodal_search.multimodalsearch method)": [[0, "multimodal_search.MultimodalSearch.itm_text_precessing", false]], "kp_from_matches() (in module cropposts)": [[0, "cropposts.kp_from_matches", false]], "load_feature_extractor_model_albef() (multimodal_search.multimodalsearch method)": [[0, "multimodal_search.MultimodalSearch.load_feature_extractor_model_albef", false]], "load_feature_extractor_model_blip() (multimodal_search.multimodalsearch method)": [[0, "multimodal_search.MultimodalSearch.load_feature_extractor_model_blip", false]], "load_feature_extractor_model_blip2() (multimodal_search.multimodalsearch method)": [[0, "multimodal_search.MultimodalSearch.load_feature_extractor_model_blip2", false]], "load_feature_extractor_model_clip_base() (multimodal_search.multimodalsearch method)": [[0, "multimodal_search.MultimodalSearch.load_feature_extractor_model_clip_base", false]], "load_feature_extractor_model_clip_vitl14() (multimodal_search.multimodalsearch method)": [[0, "multimodal_search.MultimodalSearch.load_feature_extractor_model_clip_vitl14", false]], "load_feature_extractor_model_clip_vitl14_336() (multimodal_search.multimodalsearch method)": [[0, "multimodal_search.MultimodalSearch.load_feature_extractor_model_clip_vitl14_336", false]], "load_model() (summary.summarydetector method)": [[0, "summary.SummaryDetector.load_model", false]], "load_model_base() (summary.summarydetector method)": [[0, "summary.SummaryDetector.load_model_base", false]], "load_model_base_blip2_opt_caption_coco_opt67b() (summary.summarydetector method)": [[0, "summary.SummaryDetector.load_model_base_blip2_opt_caption_coco_opt67b", false]], "load_model_base_blip2_opt_pretrain_opt67b() (summary.summarydetector method)": [[0, "summary.SummaryDetector.load_model_base_blip2_opt_pretrain_opt67b", false]], "load_model_blip2_opt_caption_coco_opt27b() (summary.summarydetector method)": [[0, "summary.SummaryDetector.load_model_blip2_opt_caption_coco_opt27b", false]], "load_model_blip2_opt_pretrain_opt27b() (summary.summarydetector method)": [[0, "summary.SummaryDetector.load_model_blip2_opt_pretrain_opt27b", false]], "load_model_blip2_t5_caption_coco_flant5xl() (summary.summarydetector method)": [[0, "summary.SummaryDetector.load_model_blip2_t5_caption_coco_flant5xl", false]], "load_model_blip2_t5_pretrain_flant5xl() (summary.summarydetector method)": [[0, "summary.SummaryDetector.load_model_blip2_t5_pretrain_flant5xl", false]], "load_model_blip2_t5_pretrain_flant5xxl() (summary.summarydetector method)": [[0, "summary.SummaryDetector.load_model_blip2_t5_pretrain_flant5xxl", false]], "load_model_large() (summary.summarydetector method)": [[0, "summary.SummaryDetector.load_model_large", false]], "load_new_model() (summary.summarydetector method)": [[0, "summary.SummaryDetector.load_new_model", false]], "load_tensors() (multimodal_search.multimodalsearch method)": [[0, "multimodal_search.MultimodalSearch.load_tensors", false]], "load_vqa_model() (summary.summarydetector method)": [[0, "summary.SummaryDetector.load_vqa_model", false]], "matching_points() (in module cropposts)": [[0, "cropposts.matching_points", false]], "module": [[0, "module-colors", false], [0, "module-cropposts", false], [0, "module-display", false], [0, "module-faces", false], [0, "module-multimodal_search", false], [0, "module-summary", false], [0, "module-text", false], [0, "module-utils", false]], "multimodal_device (multimodal_search.multimodalsearch attribute)": [[0, "multimodal_search.MultimodalSearch.multimodal_device", false]], "multimodal_search": [[0, "module-multimodal_search", false]], "multimodal_search() (multimodal_search.multimodalsearch method)": [[0, "multimodal_search.MultimodalSearch.multimodal_search", false]], "multimodalsearch (class in multimodal_search)": [[0, "multimodal_search.MultimodalSearch", false]], "parsing_images() (multimodal_search.multimodalsearch method)": [[0, "multimodal_search.MultimodalSearch.parsing_images", false]], "paste_image_and_comment() (in module cropposts)": [[0, "cropposts.paste_image_and_comment", false]], "postprocesstext (class in text)": [[0, "text.PostprocessText", false]], "querys_processing() (multimodal_search.multimodalsearch method)": [[0, "multimodal_search.MultimodalSearch.querys_processing", false]], "read_and_process_images() (multimodal_search.multimodalsearch method)": [[0, "multimodal_search.MultimodalSearch.read_and_process_images", false]], "read_and_process_images_itm() (multimodal_search.multimodalsearch method)": [[0, "multimodal_search.MultimodalSearch.read_and_process_images_itm", false]], "read_csv() (text.textanalyzer method)": [[0, "text.TextAnalyzer.read_csv", false]], "read_img() (multimodal_search.multimodalsearch method)": [[0, "multimodal_search.MultimodalSearch.read_img", false]], "remove_linebreaks() (text.textdetector method)": [[0, "text.TextDetector.remove_linebreaks", false]], "resize_img() (multimodal_search.multimodalsearch method)": [[0, "multimodal_search.MultimodalSearch.resize_img", false]], "resources (utils.downloadresource attribute)": [[0, "utils.DownloadResource.resources", false]], "rgb2name() (colors.colordetector method)": [[0, "colors.ColorDetector.rgb2name", false]], "run_server() (display.analysisexplorer method)": [[0, "display.AnalysisExplorer.run_server", false]], "save_tensors() (multimodal_search.multimodalsearch method)": [[0, "multimodal_search.MultimodalSearch.save_tensors", false]], "set_keys() (colors.colordetector method)": [[0, "colors.ColorDetector.set_keys", false]], "set_keys() (faces.emotiondetector method)": [[0, "faces.EmotionDetector.set_keys", false]], "set_keys() (text.textdetector method)": [[0, "text.TextDetector.set_keys", false]], "set_keys() (utils.analysismethod method)": [[0, "utils.AnalysisMethod.set_keys", false]], "show_results() (multimodal_search.multimodalsearch method)": [[0, "multimodal_search.MultimodalSearch.show_results", false]], "summary": [[0, "module-summary", false]], "summarydetector (class in summary)": [[0, "summary.SummaryDetector", false]], "text": [[0, "module-text", false]], "text_ner() (text.textdetector method)": [[0, "text.TextDetector.text_ner", false]], "text_sentiment_transformers() (text.textdetector method)": [[0, "text.TextDetector.text_sentiment_transformers", false]], "text_summary() (text.textdetector method)": [[0, "text.TextDetector.text_summary", false]], "textanalyzer (class in text)": [[0, "text.TextAnalyzer", false]], "textdetector (class in text)": [[0, "text.TextDetector", false]], "translate_text() (text.textdetector method)": [[0, "text.TextDetector.translate_text", false]], "update_picture() (display.analysisexplorer method)": [[0, "display.AnalysisExplorer.update_picture", false]], "upload_model_blip2_coco() (multimodal_search.multimodalsearch method)": [[0, "multimodal_search.MultimodalSearch.upload_model_blip2_coco", false]], "upload_model_blip_base() (multimodal_search.multimodalsearch method)": [[0, "multimodal_search.MultimodalSearch.upload_model_blip_base", false]], "upload_model_blip_large() (multimodal_search.multimodalsearch method)": [[0, "multimodal_search.MultimodalSearch.upload_model_blip_large", false]], "utils": [[0, "module-utils", false]], "wears_mask() (faces.emotiondetector method)": [[0, "faces.EmotionDetector.wears_mask", false]]}, "objects": {"": [[0, 0, 0, "-", "colors"], [0, 0, 0, "-", "cropposts"], [0, 0, 0, "-", "display"], [0, 0, 0, "-", "faces"], [0, 0, 0, "-", "multimodal_search"], [0, 0, 0, "-", "summary"], [0, 0, 0, "-", "text"], [0, 0, 0, "-", "utils"]], "colors": [[0, 1, 1, "", "ColorDetector"]], "colors.ColorDetector": [[0, 2, 1, "", "analyse_image"], [0, 2, 1, "", "rgb2name"], [0, 2, 1, "", "set_keys"]], "cropposts": [[0, 3, 1, "", "compute_crop_corner"], [0, 3, 1, "", "crop_image_from_post"], [0, 3, 1, "", "crop_media_posts"], [0, 3, 1, "", "crop_posts_from_refs"], [0, 3, 1, "", "crop_posts_image"], [0, 3, 1, "", "draw_matches"], [0, 3, 1, "", "kp_from_matches"], [0, 3, 1, "", "matching_points"], [0, 3, 1, "", "paste_image_and_comment"]], "display": [[0, 1, 1, "", "AnalysisExplorer"]], "display.AnalysisExplorer": [[0, 2, 1, "", "run_server"], [0, 2, 1, "", "update_picture"]], "faces": [[0, 1, 1, "", "EmotionDetector"], [0, 3, 1, "", "deepface_symlink_processor"], [0, 3, 1, "", "ethical_disclosure"]], "faces.EmotionDetector": [[0, 2, 1, "", "analyse_image"], [0, 2, 1, "", "analyze_single_face"], [0, 2, 1, "", "clean_subdict"], [0, 2, 1, "", "facial_expression_analysis"], [0, 2, 1, "", "set_keys"], [0, 2, 1, "", "wears_mask"]], "multimodal_search": [[0, 1, 1, "", "MultimodalSearch"]], "multimodal_search.MultimodalSearch": [[0, 2, 1, "", "compute_gradcam_batch"], [0, 2, 1, "", "extract_image_features_basic"], [0, 2, 1, "", "extract_image_features_blip2"], [0, 2, 1, "", "extract_image_features_clip"], [0, 2, 1, "", "extract_text_features"], [0, 2, 1, "", "get_att_map"], [0, 2, 1, "", "get_pathes_from_query"], [0, 2, 1, "", "image_text_match_reordering"], [0, 2, 1, "", "itm_text_precessing"], [0, 2, 1, "", "load_feature_extractor_model_albef"], [0, 2, 1, "", "load_feature_extractor_model_blip"], [0, 2, 1, "", "load_feature_extractor_model_blip2"], [0, 2, 1, "", "load_feature_extractor_model_clip_base"], [0, 2, 1, "", "load_feature_extractor_model_clip_vitl14"], [0, 2, 1, "", "load_feature_extractor_model_clip_vitl14_336"], [0, 2, 1, "", "load_tensors"], [0, 4, 1, "", "multimodal_device"], [0, 2, 1, "", "multimodal_search"], [0, 2, 1, "", "parsing_images"], [0, 2, 1, "", "querys_processing"], [0, 2, 1, "", "read_and_process_images"], [0, 2, 1, "", "read_and_process_images_itm"], [0, 2, 1, "", "read_img"], [0, 2, 1, "", "resize_img"], [0, 2, 1, "", "save_tensors"], [0, 2, 1, "", "show_results"], [0, 2, 1, "", "upload_model_blip2_coco"], [0, 2, 1, "", "upload_model_blip_base"], [0, 2, 1, "", "upload_model_blip_large"]], "summary": [[0, 1, 1, "", "SummaryDetector"]], "summary.SummaryDetector": [[0, 4, 1, "", "all_allowed_model_types"], [0, 4, 1, "", "allowed_analysis_types"], [0, 4, 1, "", "allowed_model_types"], [0, 4, 1, "", "allowed_new_model_types"], [0, 2, 1, "", "analyse_image"], [0, 2, 1, "", "analyse_questions"], [0, 2, 1, "", "analyse_summary"], [0, 2, 1, "", "check_model"], [0, 2, 1, "", "load_model"], [0, 2, 1, "", "load_model_base"], [0, 2, 1, "", "load_model_base_blip2_opt_caption_coco_opt67b"], [0, 2, 1, "", "load_model_base_blip2_opt_pretrain_opt67b"], [0, 2, 1, "", "load_model_blip2_opt_caption_coco_opt27b"], [0, 2, 1, "", "load_model_blip2_opt_pretrain_opt27b"], [0, 2, 1, "", "load_model_blip2_t5_caption_coco_flant5xl"], [0, 2, 1, "", "load_model_blip2_t5_pretrain_flant5xl"], [0, 2, 1, "", "load_model_blip2_t5_pretrain_flant5xxl"], [0, 2, 1, "", "load_model_large"], [0, 2, 1, "", "load_new_model"], [0, 2, 1, "", "load_vqa_model"]], "text": [[0, 1, 1, "", "PostprocessText"], [0, 1, 1, "", "TextAnalyzer"], [0, 1, 1, "", "TextDetector"]], "text.PostprocessText": [[0, 2, 1, "", "analyse_topic"], [0, 2, 1, "", "get_text_df"], [0, 2, 1, "", "get_text_dict"]], "text.TextAnalyzer": [[0, 2, 1, "", "read_csv"]], "text.TextDetector": [[0, 2, 1, "", "analyse_image"], [0, 2, 1, "", "clean_text"], [0, 2, 1, "", "get_text_from_image"], [0, 2, 1, "", "remove_linebreaks"], [0, 2, 1, "", "set_keys"], [0, 2, 1, "", "text_ner"], [0, 2, 1, "", "text_sentiment_transformers"], [0, 2, 1, "", "text_summary"], [0, 2, 1, "", "translate_text"]], "utils": [[0, 1, 1, "", "AnalysisMethod"], [0, 1, 1, "", "DownloadResource"], [0, 3, 1, "", "ammico_prefetch_models"], [0, 3, 1, "", "append_data_to_dict"], [0, 3, 1, "", "check_for_missing_keys"], [0, 3, 1, "", "dump_df"], [0, 3, 1, "", "find_files"], [0, 3, 1, "", "get_color_table"], [0, 3, 1, "", "get_dataframe"], [0, 3, 1, "", "initialize_dict"], [0, 3, 1, "", "is_interactive"], [0, 3, 1, "", "iterable"]], "utils.AnalysisMethod": [[0, 2, 1, "", "analyse_image"], [0, 2, 1, "", "set_keys"]], "utils.DownloadResource": [[0, 2, 1, "", "get"], [0, 4, 1, "", "resources"]]}, "objnames": {"0": ["py", "module", "Python module"], "1": ["py", "class", "Python class"], "2": ["py", "method", "Python method"], "3": ["py", "function", "Python function"], "4": ["py", "attribute", "Python attribute"]}, "objtypes": {"0": "py:module", "1": "py:class", "2": "py:method", "3": "py:function", "4": "py:attribute"}, "terms": {"": 5, "0": [0, 2, 7], "00": 6, "03": 5, "1": [0, 1, 2, 8], "10": [5, 6, 7], "100": [0, 5, 6], "1000": [1, 8], "11": 7, "12": [5, 7], "14": 0, "15": [5, 6], "16": 5, "163": 7, "19": 0, "1976": 0, "2": [0, 2], "20": [0, 5], "2022": [3, 7], "2023": 5, "20gb": 5, "23": 7, "240": 0, "240p": 0, "27": 5, "28": 5, "3": [0, 2], "30": [0, 5], "336": 0, "35": 5, "3_non": 5, "4": [2, 7], "5": [0, 5], "50": [0, 1, 5, 8], "5_clip_base_saved_features_imag": 5, "6": [0, 5, 7], "60gb": 5, "61": [5, 6], "7": 7, "7b": [0, 5], "8": [0, 7], "8050": 0, "8055": 5, "8057": 5, "9": 0, "981aa55a3b13": 5, "A": [0, 3, 5], "AND": 3, "AS": 3, "And": 5, "BE": 3, "BUT": 3, "Be": 7, "But": 5, "By": 5, "FOR": 3, "For": [5, 7], "IN": 3, "If": [0, 5, 6, 7], "In": [1, 5, 7, 8], "It": [1, 5, 6, 7, 8], "NO": 3, "NOT": 3, "No": 5, "OF": 3, "OR": 3, "One": 0, "Or": [1, 5, 8], "THE": 3, "TO": 3, "That": 5, "The": [0, 1, 2, 3, 6, 7, 8], "Then": 5, "There": 7, "These": [0, 5, 7], "To": [0, 5, 7], "WITH": 3, "With": 5, "_": 5, "__file__": 7, "_saved_features_imag": 5, "a100": 5, "a4f8f3": 5, "ab": 5, "about": [0, 5, 7], "abov": [3, 5, 7], "abus": 7, "accept": [0, 5], "accept_disclosur": [0, 5], "access": 2, "accord": 7, "account": [1, 7, 8], "accur": [5, 7], "action": 3, "activ": 7, "ad": 5, "adapt": 5, "add": [5, 7], "addendum": 7, "addit": 0, "advanc": 5, "af0f99b": 5, "after": [1, 5, 8], "ag": [5, 7], "again": 5, "age_threshold": [0, 5], "ai": 2, "albef": 5, "albef_feature_extractor": 0, "algorithm": [0, 5], "all": [0, 2, 3], "all_allowed_model_typ": [0, 4], "allow": [0, 5, 7], "allowed_analysis_typ": [0, 4], "allowed_model_typ": [0, 4], "allowed_new_model_typ": [0, 4], "along": 5, "alreadi": 5, "also": [0, 5, 7], "altern": 5, "american": 5, "ammico": [0, 1, 6, 8], "ammico_data_hom": 5, "ammico_env": 7, "ammico_prefetch_model": [0, 4], "among": 5, "an": [0, 3, 5, 6, 7], "analis": 0, "analys": [0, 2, 7], "analyse_imag": [0, 4, 5], "analyse_quest": [0, 4], "analyse_summari": [0, 4], "analyse_text": [0, 5, 7], "analyse_top": [0, 4], "analysi": [0, 2], "analysis_explor": 5, "analysis_typ": [0, 5], "analysisexplor": [0, 4, 5], "analysismethod": [0, 4], "analyz": [0, 2, 7], "analyze_single_fac": [0, 4], "analyze_text": 0, "anger": 5, "angri": 5, "ani": [0, 1, 3, 5, 7, 8], "anoth": 7, "answer": [0, 5, 7], "api": [0, 2, 5, 7], "app": 5, "append": 0, "append_data_to_dict": [0, 4, 5], "appli": 5, "applic": 6, "approach": 5, "appropri": 0, "approxim": 5, "ar": [0, 2, 5, 6], "architectur": 0, "archiv": 6, "area": 0, "arg": 0, "argument": 5, "aris": 3, "around": [0, 7], "arrai": 0, "art": 7, "as_posix": 6, "asian": 5, "ask": [0, 5], "assign": 5, "associ": [3, 5], "asyncbatchannotatefil": 7, "asyncbatchannotateimag": 7, "asynchron": 7, "att_map": 0, "attent": 0, "author": 3, "automat": [5, 7], "avail": [5, 7], "avif": [0, 5], "avoid": 7, "awar": 5, "b": 5, "back": [0, 1, 8], "background": 5, "bar": 5, "base": [0, 5, 7], "base_coco": 0, "bashr": 5, "batch": [0, 6, 7], "batch_siz": [0, 5], "batchannotatefil": 7, "batchannotateimag": 7, "becaus": [0, 5], "bee": 0, "been": [1, 5, 8], "befor": [0, 5, 7], "being": 5, "below": [0, 5, 6, 7], "bert": 5, "bertop": 0, "best": [5, 7], "best_simularity_value_in_current_search": 5, "better": 5, "between": [0, 5, 7], "beyond": 0, "bigger": 5, "bill": [1, 8], "binari": 0, "bit": 5, "black": [0, 7], "blank": [1, 8], "blip": 5, "blip2": 0, "blip2_coco": [0, 5], "blip2_feature_extractor": 0, "blip2_image_text_match": 0, "blip2_opt_caption_coco_opt2": [0, 5], "blip2_opt_caption_coco_opt6": [0, 5], "blip2_opt_pretrain_opt2": [0, 5], "blip2_opt_pretrain_opt6": [0, 5], "blip2_t5_caption_coco_flant5xl": [0, 5], "blip2_t5_pretrain_flant5xl": [0, 5], "blip2_t5_pretrain_flant5xxl": [0, 5], "blip_bas": 5, "blip_capt": 0, "blip_feature_extractor": 0, "blip_image_text_match": 0, "blip_larg": 5, "blip_vqa": 0, "block": 0, "block_num": 0, "blue": [0, 7], "blur": 0, "bool": [0, 5], "both": [5, 7], "briefli": 7, "bring": [1, 8], "brown": [0, 7], "browser": [1, 8], "build": 7, "c": [0, 3, 7], "calcul": 5, "call": [5, 7], "callback": 0, "campaign": 5, "can": [0, 1, 2, 5, 6, 8], "capabl": 5, "caption": [0, 5, 7], "caption_coco_": 5, "caption_coco_flant5xl": 0, "caption_coco_opt2": 0, "caption_coco_opt6": 0, "card": 5, "care": 7, "carri": [5, 6, 7], "case": 5, "categor": [0, 6], "categori": 5, "cell": [5, 6], "chang": 5, "channel": 7, "charg": [1, 3, 8], "check": [0, 5, 6, 7], "check_for_missing_kei": [0, 4], "check_model": [0, 4], "checkpoint": 5, "choos": [5, 7], "chosen": 0, "cie": 0, "citi": 5, "claim": 3, "class": [0, 5], "classif": [0, 5], "classifi": 7, "clean": [0, 5, 7], "clean_subdict": [0, 4], "clean_text": [0, 4], "cli": [0, 5], "click": [1, 5, 8], "clip_bas": 5, "clip_feature_extractor": 0, "clip_vitl14": 5, "clip_vitl14_336": 5, "closest": 0, "cloud": [0, 2], "cnn": 5, "coco": [0, 5], "code": [5, 6], "colab": [5, 6, 7], "colaboratori": [1, 8], "collect": 7, "color": [0, 2], "color_analysi": [2, 4], "color_bgr2rgb": 6, "colordetector": [0, 4, 5], "colorgram": [0, 5, 7], "colour": [5, 7], "column": [0, 5, 7], "column_kei": [0, 5], "com": [5, 6, 7], "combat": 7, "combin": 5, "come": 5, "command": 7, "comment": [0, 6, 7], "common": 0, "compat": 2, "complet": 5, "compli": 7, "compon": 7, "comput": [0, 1, 5, 8], "computation": 5, "compute_crop_corn": [0, 4], "compute_gradcam_batch": [0, 4], "conceal": 5, "conda": [5, 7], "conda_prefix": 7, "condit": 3, "confer": 5, "confid": 5, "conll03": 5, "connect": [3, 5, 7], "consequenti": 0, "consequential_quest": [0, 5], "consid": [0, 5], "consist": 5, "consol": [1, 8], "const_image_summari": 5, "constant": [0, 5], "contain": [0, 2, 7], "content": [5, 6], "context": 5, "contract": 3, "contrib": 6, "conveni": 5, "convert": [0, 2], "coordin": 0, "copi": 3, "copyright": 3, "corner": [0, 1, 8], "correct": [5, 7], "correspond": 5, "cosequential_quest": 5, "could": 5, "count": 5, "countri": 5, "cover": 5, "cpp": 7, "cpu": [0, 5], "creat": [0, 1, 2, 7, 8], "creation": 5, "crop": [0, 2, 5], "crop_dir": 6, "crop_image_from_post": [0, 4], "crop_media_post": [0, 4, 6], "crop_post": 0, "crop_posts_from_ref": [0, 4, 6], "crop_posts_imag": [0, 4], "crop_view": [0, 6], "croppost": [2, 4, 6, 7], "crpo": 6, "css3": 0, "csv": [0, 2, 7], "csv_encod": 0, "csv_path": [0, 5], "cu11": 7, "cu118": 7, "cuda": [0, 5, 7], "cudatoolkit": 7, "cudnn": 7, "cudnn_path": 7, "current": [0, 1, 7, 8], "current_simularity_valu": 5, "cut": 0, "cv2": [0, 6], "cvtcolor": 6, "cyan": [0, 7], "d": [6, 7], "damag": 3, "dash": [0, 5], "dashboard": [1, 8], "data": [0, 2, 6, 7], "data_out": 5, "data_path": 5, "databas": 7, "datafram": [0, 2], "dataset": 2, "dbmdz": 5, "deactiv": 7, "deal": 3, "deepfac": [5, 7], "deepface_symlink_processor": [0, 4], "default": [0, 5], "defin": 5, "delet": 7, "delta": 0, "delta_e_method": 0, "demand": [0, 5], "demonstr": [2, 7], "depend": [5, 7], "dependend": 5, "depth": 7, "describ": 7, "descript": [5, 7], "descriptor": 0, "desir": 5, "detail": 5, "detect": [0, 2], "detector": [2, 7], "determin": [0, 5], "determinist": 0, "deterministic_summari": 5, "develop": [5, 7], "devic": 0, "device_typ": [0, 5], "df": 5, "dict": [0, 5], "dictionari": [0, 5], "differ": [5, 6], "directli": [1, 5, 8], "directori": [0, 5], "dirnam": 7, "discard": 5, "disclosur": 0, "disclosure_ammico": [0, 5], "disgust": 5, "disk": 7, "displai": [2, 4, 5], "distanc": 7, "distilbart": 5, "distilbert": 5, "distribut": 3, "dmatch": 0, "do": [3, 5, 7], "document": 3, "doe": [0, 5, 7], "doesn": 6, "dog": 5, "domin": 5, "don": 2, "done": [1, 5, 6, 7, 8], "dopamin": 5, "dot": [1, 8], "down": [1, 8], "download": [0, 1, 5, 7, 8], "downloadresourc": [0, 4], "draw_match": [0, 4], "drive": [1, 5, 6, 7, 8], "drop": [1, 8], "dropdown": 5, "due": [5, 6], "dump": [0, 5], "dump_df": [0, 4, 5], "dump_everi": 5, "dump_fil": 5, "e": [0, 7], "each": [0, 5], "easi": 5, "easier": 6, "easili": 5, "echo": 7, "either": [0, 5], "element": [5, 7], "emot": 5, "emotion_threshold": [0, 5], "emotiondetector": [0, 4, 5], "emotitiondetector": 5, "empti": [0, 5], "enabl": [2, 5, 7], "english": [0, 5, 7], "ensur": 5, "enter": [1, 8], "entiti": [0, 5, 7], "entity_typ": 5, "entri": [0, 5], "enumer": 5, "env_var": 7, "environ": [0, 5], "envorin": 5, "equip": 5, "error": [0, 5, 7], "estim": 0, "etc": 7, "ethic": 0, "ethical_disclosur": [0, 4, 5], "ethnic": 5, "even": 5, "event": 3, "everi": 5, "everyth": 6, "ex": 7, "exampl": [5, 6], "exclud": 0, "execut": [5, 6], "exist": 5, "exist_ok": 5, "experiment": [5, 7], "explain": 5, "explicitli": 5, "explor": [0, 5], "export": [5, 7], "express": [0, 2, 3, 7], "ext": 0, "extens": [5, 7], "extra": 6, "extrac": 7, "extract": 0, "extract_image_features_bas": [0, 4], "extract_image_features_blip2": [0, 4], "extract_image_features_clip": [0, 4], "extract_text_featur": [0, 4], "f": 6, "f2482bf": 5, "face": [2, 4, 7], "facial": [0, 2, 7], "facial_expression_analysi": [0, 4], "failsaf": 7, "fals": [0, 5, 6], "faq": 2, "fast": 5, "fear": 5, "featur": [0, 2], "feature_extractor": 0, "features_image_stack": [0, 5], "features_text": 0, "few": [5, 7], "field": 0, "figsiz": 6, "figur": 6, "file": [0, 1, 2, 3, 6, 7, 8], "filelist": 0, "filenam": [0, 5], "filepath": 0, "fill": 5, "filter": [0, 5], "filter_number_of_imag": [0, 5], "filter_rel_error": [0, 5], "filter_val_limit": [0, 5], "final_h": 0, "find": [0, 5, 6, 7], "find_fil": [0, 4, 5, 6], "fine": [5, 6], "finetun": 5, "first": [0, 1, 5, 6, 8], "fit": 3, "flag": 5, "flake8": [5, 6], "flan": 0, "flant5": 5, "flant5xl": 5, "flant5xxl": 5, "flex": 5, "float": [0, 5], "folder": [1, 6, 7, 8], "follow": [1, 3, 5, 7, 8], "forg": 7, "form": [0, 5], "format": [0, 5], "found": [0, 5, 6, 7], "fraction": 5, "frame": 0, "framework": 7, "frankfurt": 5, "free": [0, 1, 3, 8], "frequent": 0, "from": [0, 1, 3, 6, 7, 8], "full": 5, "function": [0, 5], "furnish": 3, "further": [2, 7], "g": 7, "gate": 5, "gb": [5, 7], "gbq": 5, "gender": [5, 7], "gender_threshold": [0, 5], "gener": [0, 2, 5, 7], "get": [0, 1, 4, 5, 7, 8], "get_att_map": [0, 4], "get_color_t": [0, 4], "get_datafram": [0, 4, 5], "get_ipython": [5, 6], "get_pathes_from_queri": [0, 4], "get_text_df": [0, 4], "get_text_dict": [0, 4], "get_text_from_imag": [0, 4], "gif": [0, 5], "git": [5, 6], "github": [5, 6], "give": 5, "given": [0, 5, 6], "global": 0, "go": [1, 8], "googl": [0, 2, 6], "google_application_credenti": [5, 7], "googletran": [5, 7], "gpu": [5, 7], "gradcam": 0, "grant": 3, "graphic": 2, "green": [0, 7], "grei": [0, 7], "h_margin": 0, "ha": [1, 5, 8], "happen": 2, "happi": 5, "have": [2, 5], "head": [5, 6], "heat": 5, "heavi": 5, "held": 7, "here": [1, 5, 7, 8], "herebi": 3, "high": 5, "hold": 5, "holder": 3, "horizont": 0, "hostedtoolcach": 0, "hour": 7, "how": [2, 5], "howev": 5, "hpc": 5, "http": [5, 6], "hug": 7, "huggingfac": 5, "human": 5, "i": [0, 1, 2, 3, 5, 6, 8], "id": [0, 1, 5, 8], "ideal": 5, "identifi": 5, "ignor": [0, 6], "imag": [0, 1, 2, 6, 8], "image_df": 5, "image_dict": 5, "image_example_path": 5, "image_example_queri": 5, "image_gradcam_with_itm": [0, 5], "image_kei": [0, 5], "image_nam": [0, 5], "image_path": 0, "image_summary_detector": 5, "image_summary_vqa_detector": 5, "image_text_match_reord": [0, 4, 5], "images_tensor": 0, "img": [0, 5], "img1": 0, "img2": 0, "img_path": 0, "immedi": 7, "imperfect": 6, "implement": 5, "impli": 3, "import": [2, 6, 7], "importlib_resourc": [5, 6], "improp": 6, "improv": 7, "imread": 6, "imshow": 6, "includ": [0, 3, 5], "incompat": 5, "increment": 5, "index": [0, 2, 7], "indic": 0, "inform": [1, 6, 7, 8], "inherit": 0, "iniati": 5, "init": 5, "initi": [0, 5, 7], "initialize_dict": [0, 4], "input": [0, 2, 7], "insid": 5, "inspect": 2, "instal": [2, 5, 6], "instanc": 5, "instead": 5, "instruct": [2, 5, 7], "int": [0, 5], "intellig": 7, "intens": 5, "interact": [0, 5], "interfac": 2, "internet": 2, "ipynb": 7, "is_interact": [0, 4], "isdir": 6, "item": [5, 6], "iter": [0, 4], "itm": [0, 5], "itm_model": [0, 5], "itm_model_typ": 0, "itm_scor": 5, "itm_scores2": 0, "itm_text_precess": [0, 4], "its": [5, 7], "iulusoi": 5, "jpeg": [0, 5], "jpg": [0, 5], "json": [1, 5, 7, 8], "jupyt": [1, 5, 8], "just": [0, 5, 7], "k": 5, "keep": 6, "kei": [0, 2, 7], "keypoint": 0, "keyword": [5, 7], "kind": 3, "kp1": 0, "kp2": 0, "kp_from_match": [0, 4], "kwarg": 0, "l": [0, 5], "languag": [0, 5, 7], "larg": [0, 5, 7], "large_coco": 0, "largest": 5, "later": 0, "latest": 6, "latter": [5, 7], "launch": 5, "lavi": [0, 5, 7], "ld_library_path": 7, "left": [1, 5, 8], "lemma": 7, "len": 5, "length": 0, "less": 5, "liabil": 3, "liabl": 3, "lib": [0, 7], "librari": [0, 5, 6, 7], "licens": 2, "lida": 5, "like": [1, 5, 8], "likelihood": 5, "limit": [0, 3, 5, 6], "line": [5, 6], "linebreak": [0, 5], "list": [0, 1, 5, 8], "list_of_quest": [0, 5], "live": 7, "llm": 5, "load": [0, 5, 6], "load_dataset": 5, "load_feature_extractor_model_albef": [0, 4], "load_feature_extractor_model_blip": [0, 4], "load_feature_extractor_model_blip2": [0, 4], "load_feature_extractor_model_clip_bas": [0, 4], "load_feature_extractor_model_clip_vitl14": [0, 4], "load_feature_extractor_model_clip_vitl14_336": [0, 4], "load_model": [0, 4], "load_model_bas": [0, 4], "load_model_base_blip2_opt_caption_coco_opt67b": [0, 4], "load_model_base_blip2_opt_pretrain_opt67b": [0, 4], "load_model_blip2_opt_caption_coco_opt27b": [0, 4], "load_model_blip2_opt_pretrain_opt27b": [0, 4], "load_model_blip2_t5_caption_coco_flant5xl": [0, 4], "load_model_blip2_t5_pretrain_flant5xl": [0, 4], "load_model_blip2_t5_pretrain_flant5xxl": [0, 4], "load_model_larg": [0, 4], "load_new_model": [0, 4], "load_tensor": [0, 4], "load_vqa_model": [0, 4], "local": [5, 7], "locat": [5, 7], "log": 7, "login": 5, "look": [0, 1, 5, 6, 8], "loop": 5, "lower": 5, "m": 7, "machin": [5, 7], "made": [5, 7], "mai": [5, 7], "main": [5, 7], "make": [1, 5, 7, 8], "man": 5, "manag": [1, 8], "mani": 5, "manual": 6, "map": [0, 5], "margin": 0, "mask": [0, 5, 7], "match": [0, 5, 6, 7], "matching_point": [0, 4], "matplotlib": 6, "maximum": [0, 5], "mean": 5, "media": [0, 2, 5, 6], "medicin": 5, "memori": [5, 7], "menu": [1, 5, 8], "merchant": 3, "merg": [0, 3], "merge_color": 0, "messag": 5, "metadata": 7, "method": [0, 5], "metric": [0, 7], "microsoft": 7, "might": 0, "min_match": 0, "minimum": [0, 5], "misinform": [2, 5], "miss": 0, "mit": 3, "mkdir": [5, 7], "model": [0, 7], "model_nam": [0, 5], "model_old": 0, "model_typ": [0, 5], "modifi": 3, "modul": [2, 7], "moment": 5, "month": [1, 8], "moral": 6, "more": [1, 5, 7, 8], "most": [0, 5], "mount": [5, 6], "msvc": 7, "much": 5, "multi_features_stack": 0, "multimod": [2, 4, 7], "multimodal_devic": [0, 4], "multimodal_search": [0, 4, 5, 7], "multimodalsearch": [0, 4, 5], "multipl": 5, "multiple_fac": 5, "must": 7, "mv": 6, "my_obj": 5, "mydict": [0, 5], "mydriv": 5, "n": [0, 5, 7], "n_color": 0, "name": [0, 1, 5, 6, 7, 8], "natur": 0, "ndarrai": 0, "necessari": [5, 7], "need": [0, 5, 7], "need_grad_cam": [0, 5], "neg": 5, "ner": 5, "nest": [0, 5], "neutral": 5, "new": [0, 1, 5, 7, 8], "next": 5, "nn": 0, "no_fac": 5, "non": 0, "nondeterministic_summari": 0, "none": [0, 5], "noninfring": 3, "noqa": [5, 6], "note": 5, "notebook": [1, 2, 6, 7, 8], "notic": 3, "now": [1, 5, 6, 8], "np": 0, "num": 5, "number": [0, 5, 7], "number_of_imag": 5, "numer": 5, "numpi": [0, 7], "nvidia": 7, "o": [5, 6, 7], "obj": 5, "object": [0, 5], "obtain": 3, "occur": 0, "off": 0, "offlin": 7, "old": 0, "onc": 5, "one": [0, 5, 7], "ones": 5, "onli": [0, 5, 6, 7], "onlin": 7, "open": 5, "opencv": 6, "oper": 7, "opt": [0, 5], "optim": 5, "option": [0, 5, 7], "orang": [0, 7], "orbax": 5, "order": [5, 7], "origin": [0, 5, 6], "other": [0, 3, 5, 7], "otherwis": [0, 3, 5], "our": [5, 7], "out": [1, 3, 5, 6, 7, 8], "outdict": 5, "output": [0, 2], "outsid": 5, "overal": 5, "overlap": 0, "own": 5, "p": [0, 7], "packag": [0, 2, 6], "page": [1, 2, 7, 8], "paid": 5, "panda": 2, "paper": 7, "paramet": [0, 5], "parent": 5, "pars": 0, "parsing_imag": [0, 4, 5], "part": [0, 6, 7], "parti": 7, "partial": 5, "particular": 3, "pass": 5, "past": 0, "paste_image_and_com": [0, 4], "path": [0, 5, 6], "path_post": 6, "path_ref": 6, "path_to_load_tensor": [0, 5], "path_to_save_tensor": [0, 5], "pathlib": 5, "patient": 5, "pattern": [0, 5], "peopl": 5, "per": [1, 8], "percentag": [0, 5, 7], "perform": [0, 5, 7], "period": 7, "perman": 5, "permiss": 3, "permit": 3, "persist": 7, "person": [3, 5, 7], "pick": [1, 8], "pictur": [0, 2], "pil": 0, "pin": 6, "pink": [0, 7], "pip": [5, 6], "pipelin": [0, 5, 7], "pkg": [5, 6], "place": [1, 5, 7, 8], "pleas": [5, 6, 7], "plot": 6, "plt": 6, "plt_crop": [0, 6], "plt_imag": [0, 6], "plt_match": [0, 6], "png": [0, 5, 6], "pngimageplugin": 0, "point": 0, "polar": 7, "politician": 5, "pooch": 0, "pop": [1, 5, 8], "port": [0, 5], "portion": 3, "posit": [0, 5], "possibl": [5, 7], "post": [0, 2, 5], "postprocesstext": [0, 4], "pre": [5, 7], "predict": [5, 7], "prefetch": 0, "prefix": 0, "prepar": 5, "preprocessor": 0, "presenc": [5, 7], "present": [0, 5], "preserv": 5, "press": 5, "pretrain": [0, 5], "pretrain_": 5, "pretrain_opt2": 0, "pretrain_opt6": 0, "prevent": [6, 7], "previou": 5, "primari": 5, "print": [6, 7], "prioriti": 7, "privat": [1, 5, 8], "probabl": 5, "problem": [0, 2], "process": [0, 1, 5, 7, 8], "product": 5, "profil": 5, "progress": 5, "project": [1, 7, 8], "prompt": [1, 5, 8], "proper": 7, "proport": 0, "provid": [0, 3, 5, 6, 7], "pt": [0, 5], "public": 7, "publish": 3, "purpl": [0, 7], "purpos": [3, 5], "put": [0, 7], "py": [0, 7], "pycocotool": 7, "pyplot": 6, "python": [0, 1, 5, 6, 7, 8], "python3": 0, "q": 6, "qq": 6, "qqq": [5, 6], "queri": [0, 2, 7], "querys_process": [0, 4], "question": [0, 5, 7], "quit": 5, "race": [5, 7], "race_threshold": [0, 5], "ram": 5, "random": [0, 5], "random_se": [0, 5], "rank": 5, "raw_imag": 0, "raw_img": 0, "re": [5, 6, 7], "read": [0, 2], "read_and_process_imag": [0, 4], "read_and_process_images_itm": [0, 4], "read_csv": [0, 4, 5], "read_img": [0, 4], "receiv": 7, "recogn": 7, "recognit": [0, 5], "recurs": [0, 5], "red": [0, 7], "reduc": [0, 5], "ref": [5, 6], "ref_dir": 6, "ref_fil": [0, 6], "ref_view": [0, 6], "refer": [0, 1, 5, 6, 8], "region": [0, 6], "regist": 0, "reject": 5, "rel": 0, "relev": 5, "rememb": 5, "remot": 0, "remov": [0, 6, 7], "remove_linebreak": [0, 4], "reorder": 0, "report": 5, "repositori": 5, "represent": 5, "request": 7, "requir": [0, 5, 7], "rerun": 5, "resiz": 0, "resize_img": [0, 4], "resized_imag": 0, "resourc": [0, 4, 5], "respect": 5, "respond": 5, "respons": 7, "restart": 5, "restrict": [3, 7], "result": [0, 7], "retinafac": [5, 7], "return": [0, 5, 7], "return_top": 0, "revis": 5, "revision_numb": [0, 5], "rf": 6, "rgb": 0, "rgb2name": [0, 4], "rgb_ref_view": 6, "rgb_view": 6, "right": [1, 3, 5, 8], "rl": 5, "rm": 6, "row": 5, "run": [0, 1, 5, 6, 7, 8], "run_serv": [0, 4, 5], "runtim": 5, "sad": 5, "same": [5, 6, 7], "sampl": [6, 7], "save": [0, 6], "save_crop_dir": [0, 6], "save_tensor": [0, 4], "saved_features_imag": 0, "saved_tensor": 0, "score": 0, "screen": [1, 8], "screenshot": [1, 8], "script": 7, "sdk": 7, "search": [1, 2, 4, 7, 8], "search_queri": [0, 5], "second": [0, 5], "section": 5, "see": [1, 5, 7, 8], "seed": [0, 5], "seem": 6, "select": [0, 1, 8], "self": 0, "sell": 3, "send": 7, "sent": 2, "sentiment": [0, 5, 7], "sentiment_scor": 5, "separ": 5, "sequenti": 5, "server": [0, 5], "servic": [1, 7, 8], "session": 5, "set": [0, 1, 2, 6, 7, 8], "set_kei": [0, 4], "setuptool": [5, 6], "seven": 5, "sever": [5, 7], "sh": 7, "shade": 0, "shall": 3, "share": 7, "shell": 5, "short": 7, "shortcom": 5, "shot": 5, "should": [0, 1, 5, 8], "show": [0, 1, 5, 6, 8], "show_result": [0, 4, 5], "showcas": 5, "shown": 5, "shuffel": 0, "shuffl": [0, 5], "sidebar": 5, "sift": 0, "sign": [1, 8], "signifi": [0, 5], "similar": [0, 5, 7], "simultan": 5, "sinc": 5, "singl": [0, 5], "site": 0, "size": [0, 5, 7], "skip": 5, "skip_extract": [0, 5], "slightli": 5, "slower": 5, "small": 0, "smaller": [0, 5], "so": [0, 3, 5, 7], "social": [0, 5, 6, 7], "softwar": 3, "solv": 2, "some": [5, 6, 7], "someth": [1, 5, 6, 8], "sometim": [0, 5, 6, 7], "sort": 0, "sorted_list": [0, 5], "sourc": [5, 7], "space": 7, "spaci": [5, 7], "special": 5, "specif": [0, 5], "specifi": 5, "speech": 7, "spell": 7, "ssc": 3, "ssciwr": [5, 6], "sshleifer": 5, "sst": 5, "stack": 0, "start": 0, "state": 7, "step": [2, 6, 7], "still": 2, "store": [5, 7], "str": [0, 5, 6], "string": 5, "studio": 7, "style": 5, "subdict": [0, 5], "subdirectori": [0, 5], "subfold": 5, "subject": [3, 7], "sublicens": 3, "subsequ": 5, "substanti": 3, "substitut": 6, "subtract": 0, "suffix": 0, "suitabl": 5, "summar": 5, "summari": [2, 4, 7], "summary_and_quest": [0, 5], "summary_model": 0, "summary_vis_processor": 0, "summary_vqa_model": 0, "summary_vqa_model_new": 0, "summary_vqa_txt_processor": 0, "summary_vqa_txt_processors_new": 0, "summary_vqa_vis_processor": 0, "summary_vqa_vis_processors_new": 0, "summarydetector": [0, 4, 5], "sure": [1, 5, 8], "surpris": 5, "syntax": 5, "system": 0, "t": [2, 6], "t5": 0, "ta": 5, "tab": 5, "tabl": 5, "take": [0, 5], "taken": [0, 5], "task": [5, 7], "tell": 5, "temporarili": 7, "ten": 0, "tensor": [0, 5], "tensorflow": 5, "tesor": 0, "test": [2, 6], "text": [2, 4, 6], "text_clean": [5, 7], "text_df": 5, "text_dict": 5, "text_english": [0, 5, 7], "text_english_correct": 7, "text_input": [0, 5], "text_languag": [5, 7], "text_ner": [0, 4], "text_query_index": 0, "text_sentiment_transform": [0, 4], "text_summari": [0, 4, 5], "textanalyz": [0, 4, 5], "textblob": 7, "textdetector": [0, 4, 5], "textual": 7, "tf": 5, "than": [1, 5, 8], "thei": [0, 5, 7], "them": 5, "therefor": 5, "thi": [0, 1, 3, 5, 6, 7, 8], "third": 7, "three": [1, 5, 8], "threshold": 5, "through": [0, 5], "thrown": 5, "thu": 5, "tiff": [0, 5], "time": [5, 7], "to_csv": 5, "togeth": 0, "toggl": 5, "token": [0, 7], "tokenized_text": 0, "tool": 2, "top": [1, 5, 8], "top1": 5, "topic": [0, 5, 7], "torch": [0, 7], "torchaudio": [5, 7], "torchdata": 5, "torchtext": 5, "torchvis": 7, "tort": 3, "total": 5, "tpu": 5, "tqdm": 5, "train": [0, 5], "transform": [0, 5, 7], "translat": [0, 2], "translate_text": [0, 4], "true": [0, 5, 6, 7], "try": 5, "ttl": 7, "tune": 5, "tupl": 0, "two": [0, 5, 7], "txt_processor": [0, 5], "type": [0, 5, 6], "typic": 7, "ummary_and_quest": 5, "uncas": 5, "uncom": 5, "under": 7, "unecessari": 0, "uninstal": [5, 6], "union": 0, "unrecogn": [0, 7], "unrecogniz": 5, "unset": 5, "unzip": 6, "up": [0, 1, 5, 7, 8], "updat": [0, 5], "update_pictur": [0, 4], "upload": [1, 7, 8], "upload_model_blip2_coco": [0, 4], "upload_model_blip_bas": [0, 4], "upload_model_blip_larg": [0, 4], "upon": 5, "url": 7, "us": [0, 1, 2, 3, 8], "usa": 5, "usag": 2, "use_csv": 0, "user": [0, 2, 7], "utf": 0, "util": [2, 4, 6], "v": 7, "v143": 7, "v2": 5, "v_margin": 0, "valu": [0, 5], "variabl": [0, 5, 7], "veri": [5, 7], "version": [5, 6, 7], "vertic": [0, 1, 8], "via": 5, "video": 5, "view": [0, 6], "vis_processor": [0, 5], "vision": [0, 2], "visual": [0, 5, 7], "visual_input": 0, "visualstudio": 7, "vit": [0, 5], "vqa": [0, 5], "vram": 5, "vs_buildtool": 7, "wa": [0, 5, 7], "wai": [5, 6], "want": [5, 7], "warranti": 3, "we": [0, 5, 6], "wear": [0, 5, 7], "wears_mask": [0, 4, 5], "webp": [0, 5], "websit": 7, "well": 5, "wget": 6, "what": [2, 5], "when": [1, 5, 6, 7, 8], "where": [0, 1, 5, 7, 8], "whether": [0, 3], "which": [0, 5, 6, 7], "while": [0, 5], "white": [0, 7], "whitespac": 5, "whl": 7, "whole": 5, "whom": 3, "why": 5, "width": 0, "window": [1, 8], "wish": [1, 8], "without": [0, 3, 5, 7], "won": 7, "word": [0, 5, 7], "work": [0, 5, 6, 7], "world": 5, "worn": 5, "wrapper": 0, "write": [0, 2], "written": [0, 5], "wrong": 6, "x64": [0, 7], "x86": 7, "xl": 0, "xxl": 0, "y": [5, 6], "ye": 5, "yellow": [0, 7], "yet": 0, "you": [1, 5, 6, 7, 8], "your": [1, 2, 6, 7, 8], "zero": 5, "zip": 6}, "titles": ["text module", "Instructions how to generate and enable a google Cloud Vision API key", "Welcome to AMMICO\u2019s documentation!", "License", "AMMICO package modules", "AMMICO Demonstration Notebook", "Crop posts module", "AMMICO - AI Media and Misinformation Content Analysis Tool", "Instructions how to generate and enable a google Cloud Vision API key"], "titleterms": {"": 2, "0": 5, "1": [5, 7], "2": [5, 7], "3": [5, 7], "4": 5, "The": 5, "access": 7, "after": 7, "ai": 7, "all": 5, "ammico": [2, 4, 5, 7], "analys": 5, "analysi": [5, 7], "analyz": 5, "api": [1, 8], "ar": 7, "blip2": 5, "can": 7, "cloud": [1, 5, 7, 8], "color": [5, 7], "color_analysi": 0, "compat": 7, "contain": 5, "content": [2, 7], "convert": 5, "creat": 5, "crop": [6, 7], "croppost": 0, "csv": 5, "data": 5, "datafram": 5, "dataset": 5, "demonstr": 5, "detect": [5, 7], "detector": 5, "disclosur": 5, "displai": 0, "document": 2, "don": 7, "emot": 7, "enabl": [1, 8], "environ": 7, "ethic": 5, "express": 5, "extract": [5, 7], "face": [0, 5], "facial": 5, "faq": 7, "featur": [5, 7], "file": 5, "first": 7, "folder": 5, "formul": 5, "from": 5, "further": 5, "gener": [1, 8], "googl": [1, 5, 7, 8], "graphic": 5, "happen": 7, "have": 7, "how": [1, 8], "http": 7, "hue": 7, "i": 7, "imag": [5, 7], "import": 5, "improv": 5, "index": 5, "indic": 2, "input": 5, "inspect": 5, "instal": 7, "instruct": [1, 8], "interfac": 5, "internet": 7, "kei": [1, 5, 8], "licens": 3, "media": 7, "micromamba": 7, "misinform": 7, "model": 5, "modul": [0, 4, 5, 6], "multimod": [0, 5], "notebook": 5, "org": 7, "output": 5, "packag": [4, 5, 7], "panda": 5, "pictur": 5, "pip": 7, "post": [6, 7], "prepar": 7, "problem": 7, "pytorch": 7, "queri": 5, "read": 5, "recognit": 7, "result": 5, "right": 7, "save": 5, "search": [0, 5], "second": 7, "select": 5, "sent": 7, "set": 5, "solv": 7, "statement": 5, "step": 5, "still": 7, "summari": [0, 5], "t": 7, "tabl": 2, "tensorflow": 7, "test": 5, "text": [0, 5, 7], "tool": 7, "translat": [5, 7], "us": [5, 7], "usag": 7, "user": 5, "util": 0, "vision": [1, 5, 7, 8], "we": 7, "welcom": 2, "what": 7, "window": 7, "write": 5, "www": 7, "your": 5}}) |