{"id":20147838,"url":"https://github.com/jman4162/cvnd-image-captioning","last_synced_at":"2025-07-05T23:33:14.837Z","repository":{"id":232877504,"uuid":"378498445","full_name":"jman4162/CVND-image-captioning","owner":"jman4162","description":"CNN-RNN image captioning project for Udacity's Computer Vision Nanodegree (CVND) program.","archived":false,"fork":false,"pushed_at":"2021-06-19T20:32:11.000Z","size":4316,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-13T11:17:31.771Z","etag":null,"topics":["cnn","computer-vision","computer-vision-nanodegree","cvnd","cvnd-image-captioning","deep-learning","encoder-decoder-model","image-captioning","lstm","pytorch","rnn","udacity"],"latest_commit_sha":null,"homepage":"","language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/jman4162.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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}},"created_at":"2021-06-19T20:22:10.000Z","updated_at":"2021-06-19T20:35:21.000Z","dependencies_parsed_at":"2024-04-12T01:22:50.987Z","dependency_job_id":"91d5aff4-df20-4821-9ade-c9e7605a0b3c","html_url":"https://github.com/jman4162/CVND-image-captioning","commit_stats":null,"previous_names":["jman4162/cvnd-image-captioning"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jman4162%2FCVND-image-captioning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jman4162%2FCVND-image-captioning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jman4162%2FCVND-image-captioning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jman4162%2FCVND-image-captioning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jman4162","download_url":"https://codeload.github.com/jman4162/CVND-image-captioning/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241587802,"owners_count":19986628,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["cnn","computer-vision","computer-vision-nanodegree","cvnd","cvnd-image-captioning","deep-learning","encoder-decoder-model","image-captioning","lstm","pytorch","rnn","udacity"],"created_at":"2024-11-13T22:32:23.704Z","updated_at":"2025-03-03T00:23:59.385Z","avatar_url":"https://github.com/jman4162.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"# CVND-Image-Captioning-Project\nCNN-RNN image captioning project for Udacity's Computer Vision Nanodegree (CVND) program.\n\n\n# Instructions  \n1. Clone this repo: https://github.com/cocodataset/cocoapi  \n```\ngit clone https://github.com/cocodataset/cocoapi.git  \n```\n\n2. Setup the coco API (also described in the readme [here](https://github.com/cocodataset/cocoapi)) \n```\ncd cocoapi/PythonAPI  \nmake  \ncd ..\n```\n\n3. Download some specific data from here: http://cocodataset.org/#download (described below)\n\n* Under **Annotations**, download:\n  * **2014 Train/Val annotations [241MB]** (extract captions_train2014.json and captions_val2014.json, and place at locations cocoapi/annotations/captions_train2014.json and cocoapi/annotations/captions_val2014.json, respectively)  \n  * **2014 Testing Image info [1MB]** (extract image_info_test2014.json and place at location cocoapi/annotations/image_info_test2014.json)\n\n* Under **Images**, download:\n  * **2014 Train images [83K/13GB]** (extract the train2014 folder and place at location cocoapi/images/train2014/)\n  * **2014 Val images [41K/6GB]** (extract the val2014 folder and place at location cocoapi/images/val2014/)\n  * **2014 Test images [41K/6GB]** (extract the test2014 folder and place at location cocoapi/images/test2014/)\n\n4. The project is structured as a series of Jupyter notebooks that are designed to be completed in sequential order (`0_Dataset.ipynb, 1_Preliminaries.ipynb, 2_Training.ipynb, 3_Inference.ipynb`).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjman4162%2Fcvnd-image-captioning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjman4162%2Fcvnd-image-captioning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjman4162%2Fcvnd-image-captioning/lists"}