{"id":14963354,"url":"https://github.com/farzinkh/ai_edge","last_synced_at":"2025-07-13T05:36:36.462Z","repository":{"id":157915436,"uuid":"573873851","full_name":"Farzinkh/AI_EDGE","owner":"Farzinkh","description":"Deploy deep neural network models on esp32 SOC.","archived":false,"fork":false,"pushed_at":"2023-08-08T11:44:56.000Z","size":92230,"stargazers_count":15,"open_issues_count":2,"forks_count":0,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-04-07T04:15:19.503Z","etag":null,"topics":["automation","edge-ai","edge-computing","esp","esp-dl","esp-idf","esp32","esp32-cam","esp32s3","ml","mlops","tensorflow-lite"],"latest_commit_sha":null,"homepage":"","language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Farzinkh.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,"publiccode":null,"codemeta":null}},"created_at":"2022-12-03T17:49:47.000Z","updated_at":"2025-02-09T11:12:23.000Z","dependencies_parsed_at":"2024-09-13T19:12:23.900Z","dependency_job_id":"5931596b-9c3b-492d-a356-bfd36d0cce51","html_url":"https://github.com/Farzinkh/AI_EDGE","commit_stats":{"total_commits":24,"total_committers":1,"mean_commits":24.0,"dds":0.0,"last_synced_commit":"f1b8756a3364d02ee69bf7865822240e8c5584fd"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Farzinkh/AI_EDGE","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Farzinkh%2FAI_EDGE","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Farzinkh%2FAI_EDGE/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Farzinkh%2FAI_EDGE/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Farzinkh%2FAI_EDGE/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Farzinkh","download_url":"https://codeload.github.com/Farzinkh/AI_EDGE/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Farzinkh%2FAI_EDGE/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":265096040,"owners_count":23710768,"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":["automation","edge-ai","edge-computing","esp","esp-dl","esp-idf","esp32","esp32-cam","esp32s3","ml","mlops","tensorflow-lite"],"created_at":"2024-09-24T13:31:23.772Z","updated_at":"2025-07-13T05:36:36.416Z","avatar_url":"https://github.com/Farzinkh.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Running Deep neural network dedicated to [Espressif SoCs](https://www.espressif.com/en/products/socs)\n\nThis repository created for experimental study for deploying Deep neural networks on Espressif SoCs and evaluating their performance.\n\n## Overview\n\n[Tensorflow_lite](https://www.tensorflow.org/lite) and [ESP-DL](https://github.com/espressif/esp-dl/tree/master) are two main frameworks to deploy DNN on Espressif SoCs. Projects are placed in the folders with same name as their used framework. Some tools are developed and placed in ESP-DL/Tools to facilitate some tasks like converting ONNX model to C/CPP codes ready to compile. \n\n## Software requirements\n\n[ESP-IDF V5.x](https://github.com/espressif/esp-idf).\n\nPython 3.7.\n\n## Instalation steps\n\n`git clone --recursive https://github.com/Farzinkh/AI_EDGE.git`\n\n`cd AI_EDGE`\n\n`pip install -r requirements.txt`\n\n## Hardwares to Utilize\n\n### ESP32-CAM\n\u003cp align=\"center\"\u003e\n    \u003cimg width=\"%\" src=\"./srcs/ESP32-CAM-Pinout.webp\"\u003e \n\u003c/p\u003e\n\n[Download Schematic](https://loboris.eu/ESP32/ESP32-CAM%20Product%20Specification.pdf)\n\n### ESP32-S3\n\u003cp align=\"center\"\u003e\n    \u003cimg width=\"%\" src=\"./srcs/ESP32-S3-WiFiBluetooth5.0-Development-Board-600x600.jpg\"\u003e \n\u003c/p\u003e\n\n[Download Schematic](https://www.waveshare.com/w/upload/6/68/Nodemcu-esp-s3-12k-kit_schematic.pdf)\n\nWith a microSD Card Adapter Module \n\u003cp align=\"center\"\u003e\n    \u003cimg width=\"%\" src=\"./srcs/sd_card_module.jpg\"\u003e \n\u003c/p\u003e","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffarzinkh%2Fai_edge","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffarzinkh%2Fai_edge","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffarzinkh%2Fai_edge/lists"}