Transfer the most concise official version of MoviNet-PS from my GDrive to HF.

Image.zip

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+oid sha256:e6ceb29ead4ec0eb2a0d715dd5c9f4bdf236ffbe6eec716702c7407425c12a2b
+size 26828499428

README.md

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----
-license: mit
----
+
+
+## Terms of Use
+
+By downloading the dataset, you agree to the following terms:
+
+1.  You will use the data only for non-commercial research and educational purposes.
+
+
+## Overall Information
+
+## Introduction
+
+'./Image':              Images collected from MovieNet dataset.
+
+'./annotation/Images.mat':  1 * 736,835 struct (736,835 images)
+                 Each line describes the pedestrian information of an image,
+                 including the image name (imname), the number and locations
+                 of pedestrians appearing (nAppear and box) in this image.
+'./annotation/pool.mat':     test images.
+
+'./annotation/test/train_test/Train.mat':             5532 query persons for training.
+'./annotation/test/train_test/TestG2000-TestG10000.mat': 2900 query persons with gallery size varies from 2000 to 10000 for testing.
+
+*Note: The location of each person is stored as (xmin, ymin, width, height),
+i.e. crop_im = I ( idlocate(2):idlocate(2)+idlocate(4), idlocate(1):idlocate(1)+idlocate(3) );
+
+
+
+## Cite
+
+@article{zheng2021glcnet,
+  title={Global-local context network for person search},
+  author={Zheng, Peng and Qin, Jie and Yan, Yichao and Liao, Shengcai and Ni, Bingbing and Cheng, Xiaogang and Shao, Ling},
+  journal={arXiv preprint arXiv:2112.02500},
+  volume={8},
+  year={2021}
+}

annotation.zip

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+size 170613245