{ "owner": "tensorflow", "repo": "models", "number": 11141, "html_url": "https://github.com/tensorflow/models/issues/11141", "is_pull_request": false, "state": "closed", "state_reason": "completed", "title": "Faster RCNN Pretrained model facing error: Value error is not supported for tf2 version", "author": "ck12780", "created_at": "2024-01-11T13:32:02Z", "updated_at": "2024-01-21T08:12:25Z", "closed_at": "2024-01-21T08:12:22Z", "labels": [ "stat:awaiting response", "type:support", "models:research" ], "milestone": null, "comments_count": 4, "reactions": { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }, "resolution_days": 9.78, "fix": { "closing_commit": null, "linked_prs": [], "best_guess_fix_commit": null, "has_fix": false }, "fetched_at": "2026-07-28T12:21:23.506130+00:00", "comments": [ { "author": "laxmareddyp", "created_at": "2024-01-11T16:12:55Z", "body": "Hi @ck12780,\r\n\r\nTo assist you more efficiently, could you please share a code sample or a link to a Google Colab notebook that reproduces the issue you're experiencing? Additionally, it would be helpful to know whether you are using the official TensorFlow Model Garden repository or a research-based one.\r\n\r\nThanks." }, { "author": "ck12780", "created_at": "2024-01-12T09:12:04Z", "body": "https://colab.research.google.com/drive/1VUti4pU4n7SlFRSbmG17ITp90iw9alWU?usp=sharing\r\nAbove attached link is my colab code is take from github with modify changing pretrained model to faster rcnn 640x640 v2 from \r\nhttps://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf2_detection_zoo.md" }, { "author": "laxmareddyp", "created_at": "2024-01-18T21:35:46Z", "body": "Hi @ck12780,\r\n\r\nCould you please check this [ gist](https://colab.sandbox.google.com/gist/sineeli/5e053146251bf64e4eae1e7f264e7a3b/object_detection.ipynb).This is how you can train fasterrcnn_resnetfpn_coco setup from official models.\r\n\r\n\r\nI strongly suggest utilizing the [TensorFlow Official Model Garden](https://github.com/tensorflow/models/tree/master/official/vision#table-of-contents) to circumvent issues related to outdated code commonly found in research codebases. Unlike the research repositories, the [Official Model Garden](https://www.tensorflow.org/tfmodels) is consistently updated and aligned with the latest changes in TensorFlow and other libraries and there are lot of API's are available that you can define a training experiment using Python commands in the [TensorFlow Model library](https://www.tensorflow.org/api_docs/python/tfm/core)." }, { "author": "google-ml-butler[bot]", "created_at": "2024-01-21T08:12:24Z", "body": "Are you satisfied with the resolution of your issue?\nYes\nNo\n" } ] }