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Face recognition: Facenet embeddings are not as expected when we use NCS. #260
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Dear @SaiKrishnaDyavarasetti , The forum poster resolved it as follows:
-David sandberg trained the Facenet model using Inception Resnet v1. link- https://ncsforum.movidius.com/discussion/1308/ncsdk-support-ncs-2?Sort=date The only solution is to train the model on Inception resnet v2 or to use compute stick myriad 1 until intel allow support for Incpetoin resnet v1 on new myriad devices. Customers have been able to get Facenet working on NCS2 by retraining the model on Inception resnet v2. There is actually an outstanding feature request on this issue - supporting Inception Resnet V1 on NCS2. Hope it helps, Thanks, Shubha |
Closing, feel free to re-open or create a new issue if additional assistance is needed. Sincerely, |
… /src/bindings/python (#25300) Updates the requirements on [flake8-comprehensions](https://github.com/adamchainz/flake8-comprehensions) to permit the latest version. <details> <summary>Changelog</summary> <p><em>Sourced from <a href="https://github.com/adamchainz/flake8-comprehensions/blob/main/CHANGELOG.rst">flake8-comprehensions's changelog</a>.</em></p> <blockquote> <h2>3.15.0 (2024-06-29)</h2> <ul> <li> <p>Add rule C420 to check for dict comprehensions with constant values, encouraging replacement with <code>dict.fromkeys()</code>.</p> <p>Thanks to Tom Kuson in <code>PR [#553](adamchainz/flake8-comprehensions#553) <https://github.com/adamchainz/flake8-comprehensions/pull/553></code>__.</p> </li> </ul> <h2>3.14.0 (2023-07-10)</h2> <ul> <li>Drop Python 3.7 support.</li> </ul> <h2>3.13.0 (2023-06-15)</h2> <ul> <li>Support Python 3.12.</li> </ul> <h2>3.12.0 (2023-04-13)</h2> <ul> <li> <p>Add rule C418 to check for calls passing a dict literal or dict comprehension to <code>dict()</code>.</p> </li> <li> <p>Add rule C419 to check for calls passing a list comprehension to <code>any()</code>/<code>all()</code>.</p> </li> </ul> <h2>3.11.1 (2023-03-21)</h2> <ul> <li> <p>Fix false positives in C406 “unnecessary dict literal”.</p> <p>Fixes <code>Issue [#260](adamchainz/flake8-comprehensions#260) <https://github.com/adamchainz/flake8-comprehensions/issues/260></code>__.</p> </li> </ul> <h2>3.11.0 (2023-03-18)</h2> <ul> <li> <p>Expand C416 to <code>dict</code> comprehensions.</p> <p>Thanks to Aaron Gokaslan in <code>PR [#490](adamchainz/flake8-comprehensions#490) <https://github.com/adamchainz/flake8-comprehensions/pull/490></code>__.</p> </li> </ul> <h2>3.10.1 (2022-10-29)</h2> <ul> <li> <p>Fix false positive in rules C402 and C404 for <code>dict()</code> calls with keyword arguments.</p> <p>Thanks to Anders Kaseorg for the report in <code>Issue [#457](adamchainz/flake8-comprehensions#457) <https://github.com/adamchainz/flake8-comprehensions/issues/457></code>__.</p> </li> </ul> <h2>3.10.0 (2022-05-19)</h2> <ul> <li>Add rule C417 which recommends rewriting use of <code>map()</code> with <code>lambda</code> to an equivalent generator expression or comprehension.</li> </ul> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/adamchainz/flake8-comprehensions/commit/b348af1c22e8ef34e2fd9b501918b4f45002db20"><code>b348af1</code></a> Version 3.15.0</li> <li><a href="https://github.com/adamchainz/flake8-comprehensions/commit/1ae816f430a668ee527d1fd240640cff291b84cb"><code>1ae816f</code></a> Add rule for dict comprehensions with constant values (<a href="https://redirect.github.com/adamchainz/flake8-comprehensions/issues/553">#553</a>)</li> <li><a href="https://github.com/adamchainz/flake8-comprehensions/commit/226a7e0e58b231d8ae47080a4459172b9a29b708"><code>226a7e0</code></a> Improve MyPy configuration</li> <li><a href="https://github.com/adamchainz/flake8-comprehensions/commit/a562c757802890635d0723dfc312be496f2c978b"><code>a562c75</code></a> Tidy pyproject.toml readme and license fields</li> <li><a href="https://github.com/adamchainz/flake8-comprehensions/commit/e609dea5202dd0663a996c11883da7723f69e9c8"><code>e609dea</code></a> [pre-commit.ci] pre-commit autoupdate (<a href="https://redirect.github.com/adamchainz/flake8-comprehensions/issues/579">#579</a>)</li> <li><a href="https://github.com/adamchainz/flake8-comprehensions/commit/9506eef08eca053bbca03fd8d2eef54b6caff5ec"><code>9506eef</code></a> Upgrade requirements (<a href="https://redirect.github.com/adamchainz/flake8-comprehensions/issues/578">#578</a>)</li> <li><a href="https://github.com/adamchainz/flake8-comprehensions/commit/353b7b5f4571ac620fd2db62680cffccc219a2d9"><code>353b7b5</code></a> [pre-commit.ci] pre-commit autoupdate (<a href="https://redirect.github.com/adamchainz/flake8-comprehensions/issues/577">#577</a>)</li> <li><a href="https://github.com/adamchainz/flake8-comprehensions/commit/419907c69778ad9e3c5fedb1a3e6700a9584a680"><code>419907c</code></a> [pre-commit.ci] pre-commit autoupdate (<a href="https://redirect.github.com/adamchainz/flake8-comprehensions/issues/576">#576</a>)</li> <li><a href="https://github.com/adamchainz/flake8-comprehensions/commit/75cf66dc88b690941fac2c1a4e5255d1343a2c87"><code>75cf66d</code></a> Upgrade requirements (<a href="https://redirect.github.com/adamchainz/flake8-comprehensions/issues/575">#575</a>)</li> <li><a href="https://github.com/adamchainz/flake8-comprehensions/commit/b0dd1652ec50fb9e2b50b69aece0f85fd547894a"><code>b0dd165</code></a> [pre-commit.ci] pre-commit autoupdate (<a href="https://redirect.github.com/adamchainz/flake8-comprehensions/issues/574">#574</a>)</li> <li>Additional commits viewable in <a href="https://github.com/adamchainz/flake8-comprehensions/compare/1.0.0...3.15.0">compare view</a></li> </ul> </details> <br /> Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) --- <details> <summary>Dependabot commands and options</summary> <br /> You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. 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… /src/bindings/python (#27268) Updates the requirements on [flake8-comprehensions](https://github.com/adamchainz/flake8-comprehensions) to permit the latest version. <details> <summary>Changelog</summary> <p><em>Sourced from <a href="https://github.com/adamchainz/flake8-comprehensions/blob/main/CHANGELOG.rst">flake8-comprehensions's changelog</a>.</em></p> <blockquote> <h2>3.16.0 (2024-10-27)</h2> <ul> <li> <p>Drop Python 3.8 support.</p> </li> <li> <p>Support Python 3.13.</p> </li> </ul> <h2>3.15.0 (2024-06-29)</h2> <ul> <li> <p>Add rule C420 to check for dict comprehensions with constant values, encouraging replacement with <code>dict.fromkeys()</code>.</p> <p>Thanks to Tom Kuson in <code>PR [#553](adamchainz/flake8-comprehensions#553) <https://github.com/adamchainz/flake8-comprehensions/pull/553></code>__.</p> </li> </ul> <h2>3.14.0 (2023-07-10)</h2> <ul> <li>Drop Python 3.7 support.</li> </ul> <h2>3.13.0 (2023-06-15)</h2> <ul> <li>Support Python 3.12.</li> </ul> <h2>3.12.0 (2023-04-13)</h2> <ul> <li> <p>Add rule C418 to check for calls passing a dict literal or dict comprehension to <code>dict()</code>.</p> </li> <li> <p>Add rule C419 to check for calls passing a list comprehension to <code>any()</code>/<code>all()</code>.</p> </li> </ul> <h2>3.11.1 (2023-03-21)</h2> <ul> <li> <p>Fix false positives in C406 “unnecessary dict literal”.</p> <p>Fixes <code>Issue [#260](adamchainz/flake8-comprehensions#260) <https://github.com/adamchainz/flake8-comprehensions/issues/260></code>__.</p> </li> </ul> <h2>3.11.0 (2023-03-18)</h2> <ul> <li> <p>Expand C416 to <code>dict</code> comprehensions.</p> <p>Thanks to Aaron Gokaslan in <code>PR [#490](adamchainz/flake8-comprehensions#490) <https://github.com/adamchainz/flake8-comprehensions/pull/490></code>__.</p> </li> </ul> <h2>3.10.1 (2022-10-29)</h2> <ul> <li>Fix false positive in rules C402 and C404 for <code>dict()</code> calls with keyword arguments.</li> </ul> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/adamchainz/flake8-comprehensions/commit/bf5861b1b3d1eb1b661a34ae71db1a2bf80ced5d"><code>bf5861b</code></a> Version 3.16.0</li> <li><a href="https://github.com/adamchainz/flake8-comprehensions/commit/bd8b05591006538f60602403dc2448e0c9c4f12d"><code>bd8b055</code></a> Drop Python 3.8 support (<a href="https://redirect.github.com/adamchainz/flake8-comprehensions/issues/600">#600</a>)</li> <li><a href="https://github.com/adamchainz/flake8-comprehensions/commit/cfba30c175ddc41f2a43a94cbffac013b9fccac1"><code>cfba30c</code></a> Add automated release process (<a href="https://redirect.github.com/adamchainz/flake8-comprehensions/issues/601">#601</a>)</li> <li><a href="https://github.com/adamchainz/flake8-comprehensions/commit/e49e753e5661e17a553d14a610f0807152d9f843"><code>e49e753</code></a> [pre-commit.ci] pre-commit autoupdate (<a href="https://redirect.github.com/adamchainz/flake8-comprehensions/issues/599">#599</a>)</li> <li><a href="https://github.com/adamchainz/flake8-comprehensions/commit/2bc3ccbe27502377a7fd244714f1ce1d6c2efc84"><code>2bc3ccb</code></a> Bump astral-sh/setup-uv from 1 to 3 in the github-actions group (<a href="https://redirect.github.com/adamchainz/flake8-comprehensions/issues/598">#598</a>)</li> <li><a href="https://github.com/adamchainz/flake8-comprehensions/commit/a7842a644ff573e5d567b52332fb5cb27889adaf"><code>a7842a6</code></a> Support Python 3.13 (<a href="https://redirect.github.com/adamchainz/flake8-comprehensions/issues/597">#597</a>)</li> <li><a href="https://github.com/adamchainz/flake8-comprehensions/commit/7df8477e2b055fdc1fd0ae51f2bed75152e54c8a"><code>7df8477</code></a> Upgrade requirements (<a href="https://redirect.github.com/adamchainz/flake8-comprehensions/issues/596">#596</a>)</li> <li><a href="https://github.com/adamchainz/flake8-comprehensions/commit/4272785a82e6603fac06c67ef9457d2a9a88550e"><code>4272785</code></a> Use uv on GitHub Actions (<a href="https://redirect.github.com/adamchainz/flake8-comprehensions/issues/595">#595</a>)</li> <li><a href="https://github.com/adamchainz/flake8-comprehensions/commit/a03d78f1845b6b3034f39b08eda3fba47af20fa7"><code>a03d78f</code></a> Move automatic updates to monthly</li> <li><a href="https://github.com/adamchainz/flake8-comprehensions/commit/5ea939475914a2a534bd302c4fe5f3e704c30c95"><code>5ea9394</code></a> [pre-commit.ci] pre-commit autoupdate (<a href="https://redirect.github.com/adamchainz/flake8-comprehensions/issues/594">#594</a>)</li> <li>Additional commits viewable in <a href="https://github.com/adamchainz/flake8-comprehensions/compare/1.0.0...3.16.0">compare view</a></li> </ul> </details> <br /> Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. 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We are trying to convert TensorFlow supported facenet model to OpenVINO format for inferencing on Intel Movidius NCS stick
Model conversion from facenet.pb (TensorFlow format) to facenet.xml and facenet.bin (OpenVINO-IR supported FP16 format) was successful.
Below was the command used for conversion.
python3 ./mo_tf.py --input_model model/20180408-102900.pb --freeze_placeholder_with_value "phase_train->False" --reverse_input_channels --data_type FP16
The error here is in generation of embeddings from the converted models.
The fp16 format is a list of -1 and 1 numbers e.g. [-1 1 -1 1....]. We have attached the fp16 format( filename: embeddings_from_Movidius_fp16.png). We have also attached the corresponding openvino cpu optimized embeddings (fp32 format) which has no issues ( filename: embeddings_from_openvino_fp32.png)
Is there a way we can generate fp16 format embeddings correctly for Intel Movidius NCS?
Below is the link to the tensorflow based Facenet model used for conversion to Openvino:
https://drive.google.com/open?id=1Yye5KqgqAn_Q1hkNA27nIkZINJXeM0rf
We have tried all the suggestions mentioned in the Intel forum(link below) but it did not solve the issue
https://software.intel.com/zh-cn/node/802451
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