How to visualize with result json file?

[seokhyeonSong]

Hi. Thanks for sharing such a nice codes.

I'm a student who studies CV and I read it from paperswithcode.

I wanna visualize this code but I have no idea.

I understood that result json files are the information of bbox, segm etc...

But I don't know how to visualize with it....

If you've already uploaded the code to visualize, then I'm sorry that I haven't read it in details

[geyuying]

@seokhyeonSong Do you want to visualize annotations of DeepFashion2 or visualize predicted results from network?

[seokhyeonSong]

@geyuying I found how to train and I'm training it.

what I want to know is how to visualize with predicted result from network.

If I make a pre-trained model, then what should I have to do with which py file?

sorry for just my ignorance...

[geyuying]

Our framework is based on Detectron, and we use Detectron/tools/infer_simple.py for visualization. You can refer to https://github.com/facebookresearch/Detectron/blob/master/GETTING_STARTED.md for details.

[seokhyeonSong]

@geyuying

Thanks for your help

I'll try it!

[seokhyeonSong]

@geyuying

Sorry for asking again..

I've tried sample_infer.py as python infer_simple.py --cfg ../configs/12_2017_baselines/e2e_faster_rcnn_R-50-FPN_1x.yaml --output-dir ./ --image-ext jpg --wts ../../match_rcnn/logs/deepfashion220190808T0916/mask_rcnn_deepfashion2_0005.h5 ./

but Detectron it seems to be cannot load h5 weight file..

I've got new h5 file by running match_rcnn's main.py

Is h5 file have to be transformed?

[jia0511]

Hello, seokhyeonSong， I am a deep learning development worker.I am glad to see that I am also working on this project. I am also interested in this project, but I am a beginner and don't know how to start it. Could you give me some help?I come from wuxi, China. My name is jack.

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------------------ 原始邮件 ------------------ 发件人: "seokhyeonSong"<notifications@github.com>; 发送时间: 2019年8月9日(星期五) 上午9:07 收件人: "switchablenorms/DeepFashion2"<DeepFashion2@noreply.github.com>; 抄送: "Subscribed"<subscribed@noreply.github.com>; 主题: Re: [switchablenorms/DeepFashion2] How to visualize with result jsonfile? (#20) @geyuying Sorry for asking again.. I've tried sample_infer.py as python infer_simple.py --cfg ../configs/12_2017_baselines/e2e_faster_rcnn_R-50-FPN_1x.yaml --output-dir ./ --image-ext jpg --wts ../../match_rcnn/logs/deepfashion220190808T0916/mask_rcnn_deepfashion2_0005.h5 ./ but Detectron it seems to be cannot load h5 weight file.. I've got new h5 file by running match_rcnn's main.py Is h5 file have to be transformed? — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub, or mute the thread.

[seokhyeonSong]

@jia0511

run evaluation/deepfasion2_to_coco.py to get json file

you may run this code with validation dataset and train dataset

Then you may get 2 json files.

Then run match_rcnn's main.py

You have to change settings with your environment

Then training will be started

That's what I've got known...

It could be wrong

[jia0511]

Thank you for your help, but I tried to run evaluation/ deepfasion2_to_coke.py, but it always prompted an error, can you share your trained model? I just want to see the final verification effect.

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------------------ 原始邮件 ------------------ 发件人: "seokhyeonSong"<notifications@github.com>; 发送时间: 2019年8月9日(星期五) 上午9:44 收件人: "switchablenorms/DeepFashion2"<DeepFashion2@noreply.github.com>; 抄送: "☆后街&男孩"<136324298@qq.com>;"Mention"<mention@noreply.github.com>; 主题: Re: [switchablenorms/DeepFashion2] How to visualize with result jsonfile? (#20) @jia0511 run evaluation/deepfasion2_to_coco.py to get json file you may run this code with validation dataset and train dataset Then you may get 2 json files. Then run match_rcnn's main.py You have to change settings with your environment Then training will be started That's what I've got known... It could be wrong — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or mute the thread.

[jia0511]

Or you can tell me which file the evaluation/ deepfasion2_to_coke.py code variable json_name replaces with in the data set?Could you tell me how to operate it specifically?Thank you very much!

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------------------ 原始邮件 ------------------ 发件人: "seokhyeonSong"<notifications@github.com>; 发送时间: 2019年8月9日(星期五) 上午9:44 收件人: "switchablenorms/DeepFashion2"<DeepFashion2@noreply.github.com>; 抄送: "☆后街&男孩"<136324298@qq.com>;"Mention"<mention@noreply.github.com>; 主题: Re: [switchablenorms/DeepFashion2] How to visualize with result jsonfile? (#20) @jia0511 run evaluation/deepfasion2_to_coco.py to get json file you may run this code with validation dataset and train dataset Then you may get 2 json files. Then run match_rcnn's main.py You have to change settings with your environment Then training will be started That's what I've got known... It could be wrong — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or mute the thread.

[seokhyeonSong]

@jia0511

cuz This git's owner shares datasets to only the people who send google form

and trained model can be obtained by dataset so it will be impossible sry

[seokhyeonSong]

@jia0511
you have to change

json_name ~~, image_name ~~ (row 108,109) <- the link to dataset's annos folder and image folder

json_name (row 234) <- the name of json file to create

[jia0511]

Thank you for your help. I successfully got deepfashion2.json file using the verification data set, but I ran python evaluation/ deepfasion2_to_coke.py error: name 'num_images' is not defined,(row 107) Is this variable to be manually rewritten based on the amount of validation or training data?

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------------------ 原始邮件 ------------------ 发件人: "seokhyeonSong"<notifications@github.com>; 发送时间: 2019年8月9日(星期五) 上午10:06 收件人: "switchablenorms/DeepFashion2"<DeepFashion2@noreply.github.com>; 抄送: "☆后街&男孩"<136324298@qq.com>;"Mention"<mention@noreply.github.com>; 主题: Re: [switchablenorms/DeepFashion2] How to visualize with result jsonfile? (#20) @jia0511 you have to change json_name ~~, image_name ~~ (row 108,109) <- the link to dataset's annos folder and image folder json_name (row 234) <- the name of json file to create — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or mute the thread.

[seokhyeonSong]

@jia0511

You also change num_images to the number of images train & validation has

[jia0511]

I see. Thank you very much for your help.

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------------------ 原始邮件 ------------------ 发件人: "seokhyeonSong"<notifications@github.com>; 发送时间: 2019年8月9日(星期五) 上午10:40 收件人: "switchablenorms/DeepFashion2"<DeepFashion2@noreply.github.com>; 抄送: "☆后街&男孩"<136324298@qq.com>;"Mention"<mention@noreply.github.com>; 主题: Re: [switchablenorms/DeepFashion2] How to visualize with result jsonfile? (#20) @jia0511 You also change num_images to the number of images train & validation has — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or mute the thread.

[seokhyeonSong]

I found how to train with sample_infer.py

make json file with deepfashion dataset with mtcnn's main.py

and run with this code https://github.com/facebookresearch/Detectron/blob/master/GETTING_STARTED.md#training-a-model-with-detectron

but dataset have to be changed

change Detectron/detectron/datasets/dataset_catalog.py
-> add new available datasets with deepfashion train & test with image files and json files

change Detectron/configs/getting_started/config_which_you_want
-> change DATASETS with new available datasets' name which you made at dataset_catalog.py

and then run train code with https://github.com/facebookresearch/Detectron/blob/master/GETTING_STARTED.md#training-a-model-with-detectron then train will be started

I've just started train but it would be make it visualize with the weights file that made with this code and config files that provided with detectron

Thanks for great help @geyuying