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Add 3.0 changelog by C-Achard · Pull Request #3340 · DeepLabCut/DeepLabCut · GitHub
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MMathisLab merged 2 commits into from
May 21, 2026
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Add 3.0 changelog #3340

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Add 3.0 changelog
C-Achard May 21, 2026
c1be74f
Use raw GitHub URLs for changelog images
C-Achard May 21, 2026
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Use raw GitHub URLs for changelog images 
Replace relative image paths with raw.githubusercontent.com absolute URLs in changelog/3_0_0/v3_0_0.md so images render correctly when viewed in releases. Updated three image references (openfield_benchmark_pr2613.png, speed_tensorflow.avif, buctd_benchmarks.png).
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C-Achard committed May 21, 2026
commit c1be74fc49389c128b83ab1edd66d0dbd68ae944
6 changes: 3 additions & 3 deletions changelog/3_0_0/v3_0_0.md
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Expand Up @@ -10,7 +10,7 @@ DeepLabCut 3.0 consolidates these incremental changes into a stable release.
<table>
<tr>
<td width="27%"><img src="https://github.com/DeepLabCut/DeepLabCut/assets/28102185/1752962e-fb10-4ef5-b0bf-244be9d6f512" width="100%" alt="Benchmark table"></td>
<td width="73%"><img src="images/openfield_benchmark_pr2613.png" width="100%" alt="Openfield benchmark results"></td>
<td width="73%"><img src="https://raw.githubusercontent.com/DeepLabCut/DeepLabCut/main/changelog/3_0_0/images/openfield_benchmark_pr2613.png" width="100%" alt="Openfield benchmark results"></td>
</tr>
<tr>
<td colspan="2"><em>Pose estimation performance of the 3.0 PyTorch models compared against previous TensorFlow models on the DeepLabCut Openfield dataset (see PR <a href="https://github.com/DeepLabCut/DeepLabCut/pull/2613">#2613</a>); RMSE: root mean squared error. *Values from <a href="https://www.nature.com/articles/s41593-018-0209-y">Mathis et al. 2018</a>.</em></td>
Expand All @@ -20,7 +20,7 @@ DeepLabCut 3.0 consolidates these incremental changes into a stable release.
<table>
<tr>
<td width="27%"><img src="https://images.squarespace-cdn.com/content/v1/57f6d51c9f74566f55ecf271/1619609897110-TKSTWKEM6HTGXID9D489/triMouseDLC.gif" width="100%" alt="Trimice dataset"></td>
<td width="73%"><img src="images/speed_tensorflow.avif" width="100%" alt="Speed comparison: PyTorch vs TensorFlow"></td>
<td width="73%"><img src="https://raw.githubusercontent.com/DeepLabCut/DeepLabCut/main/changelog/3_0_0/images/speed_tensorflow.avif" width="100%" alt="Speed comparison: PyTorch vs TensorFlow"></td>
</tr>
<tr>
<td colspan="2"><em>Speed of the current PyTorch implementation (ResNet50) compared to the TensorFlow implementation. Results were obtained using a NVIDIA GeForce RTX 2080 Ti with CUDA 12.2 on the DeepLabCut Trimice dataset.</em></td>
Expand All @@ -29,7 +29,7 @@ DeepLabCut 3.0 consolidates these incremental changes into a stable release.

<table>
<tr>
<td><img src="images/buctd_benchmarks.png" width="100%" alt="BUCTD benchmarks"></td>
<td><img src="https://raw.githubusercontent.com/DeepLabCut/DeepLabCut/main/changelog/3_0_0/images/buctd_benchmarks.png" width="100%" alt="BUCTD benchmarks"></td>
</tr>
<tr>
<td><em>Comparison of the new BUCTD model architectures with DLCRNet and DEKR on the Marmoset, Fish and Trimice dataset. From <a href="https://arxiv.org/abs/2306.07879">Zhou et al., ICCV 2023</a>.</em></td>
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