{"id":25661878,"url":"https://github.com/cg1507/convnet-vis","last_synced_at":"2026-05-03T21:34:43.453Z","repository":{"id":196382406,"uuid":"161931285","full_name":"CG1507/ConvNet-Vis","owner":"CG1507","description":"ConvNet-Vis helps to visualize the Deep Convolutional Neural Networks with following methods.","archived":false,"fork":false,"pushed_at":"2018-12-27T06:45:27.000Z","size":182,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-07-16T08:44:45.192Z","etag":null,"topics":["convnet-zoo","convolutional-neural-networks","deconvolution","deep-dream","keras","tensorboard","tensorflow","visualization-tools"],"latest_commit_sha":null,"homepage":"","language":"Python","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/CG1507.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}},"created_at":"2018-12-15T18:05:20.000Z","updated_at":"2021-03-07T11:32:47.000Z","dependencies_parsed_at":"2023-09-25T00:47:13.750Z","dependency_job_id":null,"html_url":"https://github.com/CG1507/ConvNet-Vis","commit_stats":null,"previous_names":["cg1507/convnet-vis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/CG1507/ConvNet-Vis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CG1507%2FConvNet-Vis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CG1507%2FConvNet-Vis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CG1507%2FConvNet-Vis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CG1507%2FConvNet-Vis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/CG1507","download_url":"https://codeload.github.com/CG1507/ConvNet-Vis/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CG1507%2FConvNet-Vis/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32586187,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-03T06:36:36.687Z","status":"ssl_error","status_checked_at":"2026-05-03T06:36:09.306Z","response_time":103,"last_error":"SSL_read: 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":["convnet-zoo","convolutional-neural-networks","deconvolution","deep-dream","keras","tensorboard","tensorflow","visualization-tools"],"created_at":"2025-02-24T03:29:06.740Z","updated_at":"2026-05-03T21:34:43.437Z","avatar_url":"https://github.com/CG1507.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# :milky_way: ConvNet-Vis\n\nConvNet-Vis helps to visualize the Deep Convolutional Neural Networks with following methods.\n\n- Activation of image from each layer\n- Deconvolution\n- Deep-Dream\n\n## Requirements:\n* Tensorflow\n* Keras\n* numpy\n* scipy\n* h5py\n* wget\n* six\n* scikit-image\n\n## Run:\nVery first time it will download the weights of the model you pick, so it requires an internet connection. Also you can pass custom model.\n\n```python\nimport vis\n\n# For pretrained model visualization\nconvnet_vis = vis.ConvNet_Vis(image_path=\"cat.jpg\")\n\n# For custom model visualization\n# model=\u003cpath-to-model\u003e OR Keras Model obect\nconvnet_vis = vis.ConvNet_Vis(image_path=\"cat.jpg\", model=\"final_model.hdf5\")\n```\n\n\u003e **NOTE:** Results will be stored in **vis** directory.\n\n#### **Google-Colab** support added. \n\n## For Tensorboard:\n\nTensorBoard gives you flexibility to visualize all the test image on same model with brightness and contrast adustment.\n\n```\ntensorboard --logdir=\u003cLOG-PATH (layerwise)\u003e\n```\n\n## Todo:\n\n- [ ] Deep-dream support for all the model. **(Current Support only for InceptionV3)**\n\n## License\n[MIT](https://choosealicense.com/licenses/mit/)\n\n## Author\n\n[\u003cimg src=\"https://avatars3.githubusercontent.com/u/24426731?s=460\u0026v=4\" width=\"70\" height=\"70\" alt=\"Ghanshyam_Chodavadiya\"\u003e](https://github.com/CG1507)\n\n## Acknowledgement\n\n:green_heart: [tfcnn_vis](https://github.com/InFoCusp/tf_cnnvis)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcg1507%2Fconvnet-vis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcg1507%2Fconvnet-vis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcg1507%2Fconvnet-vis/lists"}