[{"_1":2,"_178":-5,"_179":-5},"loaderData",{"_3":4,"_17":18,"_25":26,"_154":155},"root",{"_5":-5,"_6":-7,"_7":8,"_9":-7,"_10":11,"_12":-7,"_13":14,"_15":16},"currentUser","primaryEmail","siteVerification","6LeIxAcTAAAAAJcZVRqyHh71UMIEGNQ_MXjiZKhI","toast","enableDev",false,"incidentStatus","theme","system","contrast","normal","routes/_layout",{"_19":-5,"_20":21,"_22":21,"_23":11,"_24":21},"username","isAskGordonEnabled",true,"isUsingNewTemplate","showMinimalLanding","showHoneypotTrap","routes/_layout.r.$namespace.$reponame",{"_27":28,"_29":-5,"_30":11,"_31":11,"_32":33,"_34":35,"_36":-5,"_37":11,"_38":39,"_88":-5,"_89":90,"_143":-5,"_144":11,"_145":21,"_146":11,"_147":-5,"_148":11,"_149":-5,"_150":151,"_152":91,"_153":-7},"canonicalUrl","https://hub.docker.com/r/tomsriddle/cv-objectdetection/tags","mcpServer","canSeeDockerfile","canSeeAutobuilds","namespace","tomsriddle","reponame","cv-objectdetection","cloudBuildSource","isAutobuildsAvailable","repo",{"_40":41,"_42":43,"_45":46,"_47":48,"_49":11,"_50":51,"_52":53,"_54":55,"_57":35,"_32":33,"_58":59,"_60":44,"_61":62,"_63":64,"_65":66,"_67":-5,"_68":62,"_69":70,"_71":11,"_72":33,"_73":74,"_79":11,"_80":81,"_85":33,"_86":87},"categories",[],"content_types",[44],"image","date_registered","2024-03-03T03:32:14.483538Z","description","Repository to demonstrate usage of Deep Neural Networks in Computer Vision for object detection","is_private","last_updated","2024-03-03T03:41:59.665669Z","last_modified","2024-10-16T13:48:34.145251Z","media_types",[56],"application/vnd.oci.image.index.v1+json","name","pull_count",104,"repository_type","star_count",0,"status",1,"status_description","active","source","collaborator_count","full_description","# Graphical Degrading and Object Detection Assignment\n\n## Overview\n\nThe Git repository (https://github.com/shaileshhemdev/hemdev-705.603Spring24/tree/master/cvbasicsAssignment-main) contains an implementation of the OpenCV2 Deep Neural Network using YOLO model for object detection in images. It has the following key files \n\n

\n Notebook (ObjectDetection.ipynb): In this notebook we demonstrate how certain reduction techniques on images can impact the object detection \n
\n Python Class (object_detection.py): This class encapsulates the Deep Neural Network implementation to return the objects detected on a given image with the corresponding confidences and bounding boxes\n
\n Flask Service (object_detection_service.py): This provides a REST service to post any image to the service to obtain the objects detected along with their confidence\n

\n \n## Local Development Environment used for building image\n\n* Apple Mac M1 chip\n* Sonoma 14.1.2\n* Docker Desktop for Mac 4.26.1 (131620)\n\n## Running on Local\n\n* You need git, python 3.8 and pip. See https://pip.pypa.io/en/stable/installation/\n\n* It is recommended that you use Python virtual environments. See https://www.freecodecamp.org/news/how-to-setup-virtual-environments-in-python/\n\n* Run pip3 install -r requirements.txt\n\n* Run python object_detection_service.py\n\n\n## How to use the image using Docker\n\n### Pull Image\n\nTo pull an image use the following \n\n```\ndocker pull tomsriddle/cv-objectdetection:1.0\n\n```\n\nAfter pulling the image check that it is present using following\n\n```\ndocker image ls\n\n```\n\n### Build Image from Local\n\n```\ndocker buildx build -t \"tomsriddle/cv-objectdetection:1.0\" --load --platform linux/amd64,linux/arm64 .\n\n```\n\n\n### Run Image\n\nTo run the image use following\n\n```\ndocker run -p :8786 -v :/workspace/shared-data -e data-folder=/workspace/shared-data/ \"tomsriddle/cv-objectdetection:1.0\" \n\n```\n\nNote: See the volume mapping - this is needed for the saving of the image for the POST API. This volume should have the yolov3.cfg and yolov3.weights files as shown below\n\n![Image Not Showing](https://github.com/shaileshhemdev/public-images/blob/main/Module6YoloFilesInVolume.png?raw=true)\n\n#### Docker Image and Run Example\n\n![Image Not Showing](https://github.com/shaileshhemdev/public-images/blob/main/Module6DockerRunCall.png?raw=true)\n\n\n## API Usage\n\nFollowing APIs exposed \n\n### Detect \n\n```\nhttp://localhost:8786/detect\n\n```\nWe need to submit form-data with image submitted as imagefile attribute \n\n#### Detect Example\n\n![Image Not Showing](https://github.com/shaileshhemdev/public-images/blob/main/Module6DetectCall.png?raw=true)\n\n#### Detect Example in Docker\n\n![Image Not Showing](https://github.com/shaileshhemdev/public-images/blob/main/Module6DetectCallDocker.png?raw=true)\n\nNotice how when you make the call the sent image is saved on your volume\n\n![Image Not Showing](https://github.com/shaileshhemdev/public-images/blob/main/Module6SentImagePersistedInVolume.png?raw=true)\n\n\n\n","has_starred","hub_user","immutable_tags_settings",{"_75":11,"_76":77},"enabled","rules",[78],".*","is_automated","permissions",{"_82":21,"_83":11,"_84":11},"read","write","admin","user","storage_size",1573496158,"orgData","recentTags",[91],{"_92":44,"_93":94,"_95":96,"_97":98,"_99":100,"_101":102,"_50":132,"_133":94,"_134":33,"_135":56,"_57":136,"_137":138,"_139":110,"_140":132,"_141":66,"_142":21},"content_type","creator",4684760,"digest","sha256:1641df4107be3dff02da69b2728de1e7c48bc2c77101090e70459ee7fb068f7a","full_size",948180043,"id",613715176,"images",[103,119,124,129],{"_104":105,"_95":106,"_107":108,"_109":110,"_111":112,"_113":114,"_115":108,"_116":-5,"_117":98,"_63":66,"_118":-5},"architecture","amd64","sha256:34b4992801f9cc5642820de6c88bbf171a4abc960cace1a630cd2cbe72868603","features","","last_pulled","2026-09-23T00:33:46.169752753Z","last_pushed","2024-03-03T03:41:59Z","os","linux","os_features","os_version","size","variant",{"_104":120,"_95":121,"_107":108,"_109":122,"_111":112,"_113":114,"_115":108,"_116":-5,"_117":123,"_63":66,"_118":-5},"arm64","sha256:456b01dce242e11f01983e076e9b34b384896ae6919d76fc6946f502b54d6f3e","2026-09-23T00:33:46.081043608Z",883625176,{"_104":125,"_95":126,"_107":108,"_109":127,"_111":112,"_113":125,"_115":108,"_116":-5,"_117":128,"_63":66,"_118":-5},"unknown","sha256:265a7a0f13bf72f4cdfd3752fce699e6d298c90c68080758581c69ad05d0d401","2026-09-23T00:33:46.086442938Z",1012,{"_104":125,"_95":130,"_107":108,"_109":131,"_111":112,"_113":125,"_115":108,"_116":-5,"_117":128,"_63":66,"_118":-5},"sha256:11955eb8c32152ba342b834faa2053e17831eea0594b56bb4a4e58819cde2a14","2026-09-23T00:33:46.074462089Z","2024-03-03T03:41:58.914966Z","last_updater","last_updater_username","media_type","1.0","repository",23454443,"tag_last_pulled","tag_last_pushed","tag_status","v2","sbxKitMetadata","isPotentialSpam","isHubSbxKitsEnabled","showSbxLogoOverride","sbxTrademarkText","displaySecurityMetadata","tagAttestations","tagsHaveAttestations",[],"selectedTag","attestationsUrl","routes/_layout.r.$namespace.$reponame.tags",{"_38":156,"_163":164,"_150":176,"_177":11},{"_40":157,"_42":158,"_45":46,"_47":48,"_49":11,"_50":51,"_52":53,"_54":159,"_57":35,"_32":33,"_58":59,"_60":44,"_61":62,"_63":64,"_65":66,"_67":-5,"_68":62,"_69":70,"_71":11,"_72":33,"_73":160,"_79":11,"_80":162,"_85":33,"_86":87},[],[44],[56],{"_75":11,"_76":161},[78],{"_82":21,"_83":11,"_84":11},"tags",{"_165":64,"_166":-5,"_167":-5,"_168":169},"count","next","previous","results",[170],{"_92":44,"_93":94,"_95":96,"_97":98,"_99":100,"_101":171,"_50":132,"_133":94,"_134":33,"_135":56,"_57":136,"_137":138,"_139":110,"_140":132,"_141":66,"_142":21},[172,173,174,175],{"_104":105,"_95":106,"_107":108,"_109":110,"_111":112,"_113":114,"_115":108,"_116":-5,"_117":98,"_63":66,"_118":-5},{"_104":120,"_95":121,"_107":108,"_109":122,"_111":112,"_113":114,"_115":108,"_116":-5,"_117":123,"_63":66,"_118":-5},{"_104":125,"_95":126,"_107":108,"_109":127,"_111":112,"_113":125,"_115":108,"_116":-5,"_117":128,"_63":66,"_118":-5},{"_104":125,"_95":130,"_107":108,"_109":131,"_111":112,"_113":125,"_115":108,"_116":-5,"_117":128,"_63":66,"_118":-5},[],"canDeleteTags","actionData","errors"]

Digest	OS/ARCH	Compressed size
34b4992801f9	linux/amd64	904.25 MB
456b01dce242	linux/arm64	842.69 MB

tomsriddle/cv-objectdetection

Tags for tomsriddle/cv-objectdetection