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Yili Zhao panovr Southwest Forestry University Kunming, Yunnan http://bigdata.swfu.edu.cn

daviddoria/InteractiveImageGraphCutSegmentation 36

An ITK/VTK implementation of graph cuts based image segmentation

daviddoria/ImageGraphCutSegmentation 8

This is a non-interactive version of image graph-cut segmentation with an ITK interface.

daviddoria/PoissonEditing 8

Poisson editing

daviddoria/InteractivePoissonEditing 4

A GUI for Poisson Editing

daviddoria/ExpectationMaximization 3

Expectation-Maximization for Gaussian Mixture Models in VTK

daviddoria/ITKHelpers 3

Helper functions for ITK

daviddoria/Mask 3

A Mask image type for ITK

panovr/2017-persontyle 0

Applied Deep Learning Workshop London 2017

panovr/2dMorphing 0

2D Image Morphing Algorithms based on mesh warping. C++ project, which is transplanted from the c codes given by Yurong Sun and George Wolberg. Details: http://davis.wpi.edu/~matt/courses/morph/2d.htm

issue closedKaiyangZhou/deep-person-reid

"torchreid\metrics\rank_cylib\rank_cy.pyx" didn't work in Windows----ValueError: Buffer dtype mismatch, expected 'long' but got 'long long'

When I try to evaluate the model effect:

Evaluating market1501 (source)

Extracting features from query set ... Done, obtained 3368-by-2048 matrix Extracting features from gallery set ... Done, obtained 15913-by-2048 matrix Speed: 0.0258 sec/batch Computing distance matrix with metric=euclidean ... Computing CMC and mAP ...

Traceback (most recent call last): File "induction.py", line 67, in <module> main() File "induction.py", line 62, in main test_only=False File "d:\pycharm\ha-cnn_reid\deep-person-reid\torchreid\engine\engine.py", line 207, in run ranks=ranks File "d:\pycharm\ha-cnn_reid\deep-person-reid\torchreid\engine\engine.py", line 335, in test rerank=rerank File "D:\anaconda_home\envs\general\lib\site-packages\torch\autograd\grad_mode.py", line 49, in decorate_no_grad return func(*args, **kwargs) File "d:\pycharm\ha-cnn_reid\deep-person-reid\torchreid\engine\engine.py", line 413, in _evaluate use_metric_cuhk03=use_metric_cuhk03 File "d:\pycharm\ha-cnn_reid\deep-person-reid\torchreid\metrics\rank.py", line 201, in evaluate_rank use_metric_cuhk03 File "torchreid\metrics\rank_cylib\rank_cy.pyx", line 25, in torchreid.metrics.rank_cylib.rank_cy.evaluate_cy File "torchreid\metrics\rank_cylib\rank_cy.pyx", line 33, in torchreid.metrics.rank_cylib.rank_cy.evaluate_cy ValueError: Buffer dtype mismatch, expected 'long' but got 'long long'

So, how should I change this file to fit the correct datatype? cpdef eval_market1501_cy(float[:,:] distmat, long[:] q_pids, long[:]g_pids, long[:]q_camids, long[:]g_camids, long max_rank): ---> cpdef eval_market1501_cy(float[:,:] distmat, longlong[:] q_pids, longlong[:]g_pids, longlong[:]q_camids, longlong[:]g_camids, longlong max_rank):

It's this right?

closed time in 6 hours

tomFoxxxx

issue commentwlgq2/uv-cpp

TimerWheel 类的是否会将没有超时连接删除

了解了,感谢

在 2021-01-20 11:41:16,"x200502126115" notifications@github.com 写道:

我有一个问题请教一下,TimerWheel 类的作用是什么? 因为我看在TcpServer中已经存放了TcpConnection的智能指针,这时TcpConnection不会被释放,只有从map中清除才会释放,所以我有些疑惑,为何还需要TimerWheel 以及ConnectionWrapper? 期盼得到 回答 ,谢谢。

主要是用来超时处理,如果超过了设定时间,就会被clear掉

— You are receiving this because you commented. Reply to this email directly, view it on GitHub, or unsubscribe.

x200502126115

comment created time in 9 hours

issue openedKaiyangZhou/deep-person-reid

"torchreid\metrics\rank_cylib\rank_cy.pyx" didn't work in Windows----ValueError: Buffer dtype mismatch, expected 'long' but got 'long long'

When I try to evaluate the model effect:

Evaluating market1501 (source)

Extracting features from query set ... Done, obtained 3368-by-2048 matrix Extracting features from gallery set ... Done, obtained 15913-by-2048 matrix Speed: 0.0258 sec/batch Computing distance matrix with metric=euclidean ... Computing CMC and mAP ...

Traceback (most recent call last): File "induction.py", line 67, in <module> main() File "induction.py", line 62, in main test_only=False File "d:\pycharm\ha-cnn_reid\deep-person-reid\torchreid\engine\engine.py", line 207, in run ranks=ranks File "d:\pycharm\ha-cnn_reid\deep-person-reid\torchreid\engine\engine.py", line 335, in test rerank=rerank File "D:\anaconda_home\envs\general\lib\site-packages\torch\autograd\grad_mode.py", line 49, in decorate_no_grad return func(*args, **kwargs) File "d:\pycharm\ha-cnn_reid\deep-person-reid\torchreid\engine\engine.py", line 413, in _evaluate use_metric_cuhk03=use_metric_cuhk03 File "d:\pycharm\ha-cnn_reid\deep-person-reid\torchreid\metrics\rank.py", line 201, in evaluate_rank use_metric_cuhk03 File "torchreid\metrics\rank_cylib\rank_cy.pyx", line 25, in torchreid.metrics.rank_cylib.rank_cy.evaluate_cy File "torchreid\metrics\rank_cylib\rank_cy.pyx", line 33, in torchreid.metrics.rank_cylib.rank_cy.evaluate_cy ValueError: Buffer dtype mismatch, expected 'long' but got 'long long'

So, how should I change this file to fit the correct datatype?

cpdef eval_market1501_cy(float[:,:] distmat, long[:] q_pids, long[:]g_pids, long[:]q_camids, long[:]g_camids, long max_rank): ---> cpdef eval_market1501_cy(float[:,:] distmat, longlong[:] q_pids, longlong[:]g_pids, longlong[:]q_camids, longlong[:]g_camids, longlong max_rank):

It's this right?

created time in 13 hours

issue openedKaiyangZhou/deep-person-reid

"torchreid\metrics\rank_cylib\rank_cy.pyx" didn't work in Windows----ValueError: Buffer dtype mismatch, expected 'long' but got 'long long'

When I try to evaluate the model effect:

Evaluating market1501 (source)

Extracting features from query set ... Done, obtained 3368-by-2048 matrix Extracting features from gallery set ... Done, obtained 15913-by-2048 matrix Speed: 0.0258 sec/batch Computing distance matrix with metric=euclidean ... Computing CMC and mAP ...

Traceback (most recent call last): File "induction.py", line 67, in <module> main() File "induction.py", line 62, in main test_only=False File "d:\pycharm\ha-cnn_reid\deep-person-reid\torchreid\engine\engine.py", line 207, in run ranks=ranks File "d:\pycharm\ha-cnn_reid\deep-person-reid\torchreid\engine\engine.py", line 335, in test rerank=rerank File "D:\anaconda_home\envs\general\lib\site-packages\torch\autograd\grad_mode.py", line 49, in decorate_no_grad return func(*args, **kwargs) File "d:\pycharm\ha-cnn_reid\deep-person-reid\torchreid\engine\engine.py", line 413, in _evaluate use_metric_cuhk03=use_metric_cuhk03 File "d:\pycharm\ha-cnn_reid\deep-person-reid\torchreid\metrics\rank.py", line 201, in evaluate_rank use_metric_cuhk03 File "torchreid\metrics\rank_cylib\rank_cy.pyx", line 25, in torchreid.metrics.rank_cylib.rank_cy.evaluate_cy File "torchreid\metrics\rank_cylib\rank_cy.pyx", line 33, in torchreid.metrics.rank_cylib.rank_cy.evaluate_cy ValueError: Buffer dtype mismatch, expected 'long' but got 'long long'

So, how should I change this file to fit the correct datatype? cpdef eval_market1501_cy(float[:,:] distmat, long[:] q_pids, long[:]g_pids, long[:]q_camids, long[:]g_camids, long max_rank): ---> cpdef eval_market1501_cy(float[:,:] distmat, longlong[:] q_pids, longlong[:]g_pids, longlong[:]q_camids, longlong[:]g_camids, longlong max_rank):

It's this right?

created time in 13 hours

issue commentwlgq2/uv-cpp

TimerWheel 类的是否会将没有超时连接删除

我有一个问题请教一下,TimerWheel 类的作用是什么? 因为我看在TcpServer中已经存放了TcpConnection的智能指针,这时TcpConnection不会被释放,只有从map中清除才会释放,所以我有些疑惑,为何还需要TimerWheel 以及ConnectionWrapper? 期盼得到 回答 ,谢谢。

主要是用来超时处理,如果超过了设定时间,就会被clear掉

x200502126115

comment created time in 17 hours

created repositoryosu-cs492-w21/RecyclerViewTodos

Using RecyclerView to implement a simple todo app

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fork kmatzen/nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

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pull request commentimagej/imagej-updater

extend error message with a link to the forum

How about creating a new topic ImageJ FAQ on the forum, where we can group frequently asked questions like this one, and then link to it with a more concise link?

Related: we used to have https://imagej.net/FAQ as well, but it's currently still read-only, and will likely take a while before the wiki is fully migrated.

haesleinhuepf

comment created time in a day

PR opened imagej/imagej-updater

extend error message with a link to the forum

Hi @frauzufall, @ctrueden,

I would like to add a link to the forum to an error message. We are repeatedly answering that question on the forum and I think it might help to have that short-cut directly in the error message.

Let me know what you think!

Cheers, Robert

+2 -1

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startedonnx/models

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issue commentwlgq2/uv-cpp

TimerWheel 类的是否会将没有超时连接删除

我有一个问题请教一下,TimerWheel 类的作用是什么? 因为我看在TcpServer中已经存放了TcpConnection的智能指针,这时TcpConnection不会被释放,只有从map中清除才会释放,所以我有些疑惑,为何还需要TimerWheel 以及ConnectionWrapper? 期盼得到 回答 ,谢谢。

x200502126115

comment created time in 2 days

startedMaclory/Deep-Iterative-Collaboration

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fork danoli3/EmotionFerPlus

An attempt at emotion recognition with Unity

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issue commentimagej/imagej

Create a Windows installer for ImageJ2/Fiji

This issue has been mentioned on Image.sc Forum. There might be relevant details there:

https://forum.image.sc/t/fiji-updater-problem-flimj-installation-error/47560/5

ctrueden

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issue commentTencent/libco

libco和libgo项目有何区别?

@whouseit acl的示例文档很好,不过对调用socket函数是非透明的,需要调用acl的封装函数,上层可能需要重写。。。 只看了一点acl文档,不知道是否还有更好的使用方式。

acl 协程 hook 了系统 IO(比如:read,write 等),可以使用自己的 socket 库,所以上层是不需要重写的。

benjamin-yin001

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created repositoryfull-stack-deep-learning/fsdl-text-recognizer-2021-labs

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issue commentKaiyangZhou/deep-person-reid

osnet_ain_x0_75

the osnet_ain_* models are obtained by NAS (please see https://arxiv.org/abs/1910.06827)

you can either search a new osnet_ain_x0_75 or follow the configuration of osnet_ain_x1_0 to construct the x0_75 model

Roberto7766

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issue openedKaiyangZhou/deep-person-reid

osnet_ain_x0_75

I notice that for osnet there are all the versions: osnet_x1_0, osnet_x0_75, osnet_x0_5, osnet_x0_25 while for osnet_ain only the osnet_ain_x1_0 version is available. How could I create and use osnet_ain_x0_75 (and the other versions as well)? Thanks

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startedodegeasslbc/FastGAN-pytorch

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fork ethereon/matplotlib

matplotlib: plotting with Python

https://matplotlib.org

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Xuanmeng-Zhang

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Add the GPU-Re-Ranking

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Kaiyang

commit sha 28430ec309d03908b757dc8610325c039dbaebbe

Merge pull request #405 from Xuanmeng-Zhang/master Add the code for GPU-Re-Ranking.

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Mark Hiner

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Bump to next development cycle Signed-off-by: Mark Hiner <hinerm@gmail.com>

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tagimagej-2.2.0

:sparkler: Open scientific N-dimensional image processing :microscope:

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Mark Hiner

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Bye bye 2020!

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Update snapshot version

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