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{
"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"
],
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"comments_count": 4,
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"resolution_days": 9.78,
"fix": {
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},
"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to circumvent issues related to outdated code commonly found in research codebases.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?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/models/issues/11141\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/models/issues/11141\">No</a>\n"
}
]
}