{"data":{"slug":"bmw-innovationlab-bmw-tensorflow-inference-api-cpu","name":"BMW-TensorFlow-Inference-API-CPU","tagline":"This is a repository for an object detection inference API using the Tensorflow framework.","github_url":"https://github.com/BMW-InnovationLab/BMW-TensorFlow-Inference-API-CPU","owner":"BMW-InnovationLab","repo":"BMW-TensorFlow-Inference-API-CPU","owner_avatar_url":"https://avatars.githubusercontent.com/u/58600135?v=4","primary_language":"Python","stars":178,"forks":48,"topics":["api","bounding-boxes","computer-vision","computervision","cpu","deep-learning","deeplearning","detection-inference-api","docker","docker-ce","docker-container","docker-image","inference","inference-engine","inference-server","object-detection","predictions","rest-api","tensorflow","tensorflow-framework"],"archived":false,"github_pushed_at":"2022-06-28T13:37:59+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/bmw-innovationlab-bmw-tensorflow-inference-api-cpu","markdown_url":"https://www.graphcanon.com/tools/bmw-innovationlab-bmw-tensorflow-inference-api-cpu.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/bmw-innovationlab-bmw-tensorflow-inference-api-cpu","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=bmw-innovationlab-bmw-tensorflow-inference-api-cpu","description":"This is a repository for an object detection inference API using the Tensorflow framework.","homepage_url":null,"license":"Apache-2.0","open_issues":1,"watchers":13,"ai_summary":null,"readme_excerpt":"### Install prerequisites\n\n#### Ubuntu\n\nUse the following command to install docker on Ubuntu:\n\n```sh\nchmod +x install_prerequisites.sh && source install_prerequisites.sh\n```\n\n#### Windows 10\n\nTo [install Docker on Windows](https://docs.docker.com/docker-for-windows/install/), please follow the link.\n\n**P.S: For Windows users, open the Docker Desktop menu by clicking the Docker Icon in the Notifications area. Select Settings, and then Advanced tab to adjust the resources available to Docker Engine.**\n\n---\n\n## Build The Docker Image\n\nIn order to build the project run the following command from the project's root directory:    \n\n```sh\nsudo docker build -t tensorflow_inference_api_cpu -f docker/dockerfile .\n```\n\n---\n\n## Run the docker container\n\nAs mentioned before, this container can be deployed using either **docker** or **docker swarm**.\n\nIf you wish to deploy this API using **docker**, please issue the following run command.\n\nIf you wish to deploy this API using **docker swarm**, please refer to following link [docker swarm documentation](./README-docker_swarm.md). After deploying the API with docker swarm, please consider returning to this documentation for further information about the API endpoints as well as the model structure sections.\n\nTo run the API, go the to the API's directory and run the following:\n\n#### Using Linux based docker:\n\n```sh\nsudo docker run -itv $(pwd)/models:/models -v $(pwd)/models_hash:/models_hash -p <docker_host_port>:4343 tensorflow_inference_api_cpu\n```\n\n#### Using Windows based docker:\n\n```sh\ndocker run -itv ${PWD}/models:/models -v ${PWD}/models_hash:/models_hash -p <docker_host_port>:4343 tensorflow_inference_api_cpu\n```\n\nThe <docker_host_port>  can be any unique port of your choice.\n\nThe API file will be run automatically, and the service will listen to http requests on the chosen port.","github_created_at":"2019-12-11T18:31:52+00:00","created_at":"2026-07-15T11:20:02.309934+00:00","updated_at":"2026-07-15T11:20:06.180179+00:00","categories":[{"slug":"computer-vision","name":"Computer Vision","url":"https://www.graphcanon.com/categories/computer-vision","markdown_url":"https://www.graphcanon.com/categories/computer-vision.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/computer-vision"},{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"api","name":"api"},{"slug":"bounding-boxes","name":"bounding-boxes"},{"slug":"computer-vision","name":"computer-vision"},{"slug":"computervision","name":"computervision"},{"slug":"cpu","name":"cpu"},{"slug":"deep-learning","name":"deep-learning"},{"slug":"deeplearning","name":"deeplearning"},{"slug":"detection-inference-api","name":"detection-inference-api"}],"trust":{"provenance":{"is_fork":false,"github_id":227433938,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-15T11:20:03.977Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":1477,"last_release_at":"2019-12-11T18:33:18Z"},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-15T11:20:04.304Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-15T11:20:03.541Z"},"languages":{"value":["python"],"source":"github.language","observed_at":"2026-07-15T11:20:03.541Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-07-15T11:20:03.541Z"}}}}