{"id":18510412,"url":"https://github.com/rakibhhridoy/imageprocessing","last_synced_at":"2026-04-08T16:31:46.785Z","repository":{"id":131513633,"uuid":"275145777","full_name":"rakibhhridoy/ImageProcessing","owner":"rakibhhridoy","description":"Large amount of image processing is quite messy and time consuming,thus the working steps should be fast as well as accurate also. I've made sequential functions that is needed for processing data in TensorFlow and python. These functions made my work fast as it needed in commercial purposes.","archived":false,"fork":false,"pushed_at":"2021-05-19T00:04:09.000Z","size":115,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-08-01T22:58:04.239Z","etag":null,"topics":["augmentation","deep-learning","functional-programming","image-manipulation","image-processing","keras","machine-learning","numpy","python","sequential-patterns","tensorflow"],"latest_commit_sha":null,"homepage":"https://rakibhhridoy.github.io","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/rakibhhridoy.png","metadata":{"files":{"readme":"readme.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-06-26T12:00:59.000Z","updated_at":"2021-06-01T20:24:25.000Z","dependencies_parsed_at":"2023-03-17T13:00:34.934Z","dependency_job_id":null,"html_url":"https://github.com/rakibhhridoy/ImageProcessing","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/rakibhhridoy/ImageProcessing","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rakibhhridoy%2FImageProcessing","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rakibhhridoy%2FImageProcessing/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rakibhhridoy%2FImageProcessing/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rakibhhridoy%2FImageProcessing/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rakibhhridoy","download_url":"https://codeload.github.com/rakibhhridoy/ImageProcessing/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rakibhhridoy%2FImageProcessing/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31564868,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-08T14:31:17.711Z","status":"ssl_error","status_checked_at":"2026-04-08T14:31:17.202Z","response_time":54,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["augmentation","deep-learning","functional-programming","image-manipulation","image-processing","keras","machine-learning","numpy","python","sequential-patterns","tensorflow"],"created_at":"2024-11-06T15:23:15.446Z","updated_at":"2026-04-08T16:31:46.770Z","avatar_url":"https://github.com/rakibhhridoy.png","language":"Python","readme":"# *Image Processing For Deep learning-FunctionedWay*\n\u003eBefore Using these functions you have to make sure your directory pattern look like below:\n![img1](i0.png)\n\n### *Function Available*\n\u003eunzipping_file  \u003cbr\u003e\n\u003ejoining_directory_to_each_other_binary_class \u003cbr\u003e\n\u003etraining_filename_show \u003cbr\u003e\n\u003etrain_validation_size \u003cbr\u003e\n\u003eplotting_image \u003cbr\u003e\n\u003eresize_labeled_images \u003cbr\u003e\n\u003eresize_labeled_images_augmentation \u003cbr\u003e\n\u003etraining_with_loading \u003cbr\u003e\n\u003eload_fit_again_saved_model \u003cbr\u003e\n\u003eevaluate_the_model_performance \u003cbr\u003e\n\u003eimages_in_conv_layer \u003cbr\u003e\n\u003eupload_image_to_test \u003cbr\u003e\n\u003etest_image \u003cbr\u003e\n\u003eclean_up \u003cbr\u003e\n\n1. We will join the directory and thus it will save us huge amount of time. \n```python\nfrom Updated import imagePyTen\n\n\nimport os\nimport zipfile\nimport matplotlib.image as mpimg\nimport matplotlib.pyplot as plt\n\nfrom tensorflow.keras.preprocessing.image import ImageDataGenerator\nimport random\nfrom tensorflow.keras.preprocessing.image import img_to_array, load_img\nfrom google.colab import files\nimport matplotlib.pyplot as plt\nfrom keras.preprocessing import image\n```\n2. Use as your need.\n   \n### Get Touch With Me:\n[Linkedin](https://linkedin.com/in/rakibhhridoy) \u003cbr\u003e\n[RakibHHridoy](https://rakibhhridoy.github.io)\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frakibhhridoy%2Fimageprocessing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frakibhhridoy%2Fimageprocessing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frakibhhridoy%2Fimageprocessing/lists"}