Closed CuauSuarez closed 2 years ago
bbox is extracted with MTCNN; depth map is via PRNet
Can you please tell me about the map_dir, Then, also about the train_iamges directory
I have the oulu-npu dataset
It will be a great help to my research work
Thanks in advance
@ZitongYu @CuauLuzbel @punitha-valli
Can you please tell me about the map_dir, Then, also about the train_iamges directory
I have the oulu-npu dataset
It will be a great help to my research work
Thanks in advance
@punitha-valli @ZitongYu Can you share me how to arrange training data folder?
You need to split the videos into frames And use the dataloader as per the source code My Best wishes
Thank you
On Wed, Jun 2, 2021, 3:49 PM luan1412167 @.***> wrote:
@punitha-valli https://github.com/punitha-valli @ZitongYu https://github.com/ZitongYu Can you share me how to arrange training data folder?
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@punitha-valli I dont know what is 6_3_20_5_121_scene.dat and info_list file ? Can you help me clarify it?
it is about the boundary box,
You can obtain the boundary box from MTCNN, it is used to extract the face region from the image
On Wed, 2 Jun 2021 at 17:12, luan1412167 @.***> wrote:
@punitha-valli https://github.com/punitha-valli I dont know what is 6_3_20_5_121_scene.dat and info_list file ? Can you help me clarify it?
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I have used OULU dataset to train the model. When I run train_CDCN.py I get the error "FileNotFoundError: [Errno 2] No such file or directory: '/home/busrasirin/KYC/TRAIN/data/train_map/6_2_19_2'".
I think this train method requires map_dir files. I don't have map images. How can I access map_images or generate these images? I have also added the error trace
/home/busrasirin/KYC/TRAIN/cdcn-env/lib/python3.8/site-packages/torch/optim/lr_scheduler.py:129: UserWarning: Detected call of lr_scheduler.step()
before optimizer.step()
. In PyTorch 1.1.0 and later, you should call them in the opposite order: optimizer.step()
before lr_scheduler.step()
. Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
warnings.warn("Detected call of lr_scheduler.step()
before optimizer.step()
. "
Traceback (most recent call last):
File "train_CDCN.py", line 461, in
By the way, I made some changes in train_CDCN.py file. These changes are
Your feedback would be very much appreciated.
According to https://github.com/timesler/facenet-pytorch/blob/master/models/mtcnn.py, the MTCNN network required threshold values for face detection.
What threshold values did you choose for the network and whether it was adapted or fixed ?
Also, with your thresholds, did you encounter empty or wrong face detections and how did you deal with those images ?
HI,
As per my experience, if you set the nominal threshold (0.5 as per my remembrance) capture all the faces of a database
On Fri, 3 Dec 2021 at 03:46, Debasmit Das @.***> wrote:
According to https://github.com/timesler/facenet-pytorch/blob/master/models/mtcnn.py, the MTCNN network required threshold values for face detection.
What threshold values did you choose for the network and whether it was adapted or fixed ?
Also, with your thresholds, did you encounter empty or wrong face detections and how did you deal with those images ?
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People, who have tried extracting depth maps using PRNet, which github repository did you find to be most reliable and useful ?
hi, please refer to this repository,
https://github.com/YadiraF/PRNet
Thanks,
On Thu, 23 Dec 2021 at 08:08, Debasmit Das @.***> wrote:
People, who have tried extracting depth maps using PRNet, which github repository did you find to be most reliable and useful ?
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@ZitongYu @CuauLuzbel @punitha-valli
Can you please tell me about the map_dir, Then, also about the train_iamges directory
I have the oulu-npu dataset
It will be a great help to my research work
Thanks in advance
Hi! Have you solved this problem?What should I put into map_dir?Thank you a lot!!
Can you share more about how to extract more from videos to images?
Increase frames per second, in your python coding so you can able to get the more number of frames from one video.
On Tue, Aug 2, 2022, 11:05 PM maywander @.***> wrote:
Can you share more about how to extract more from videos to images?
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Can you please tell me the naming convention of '1_1_01_1.avi', '1_1_01_2.avi','1_1_01_3.avi', 1_1_01_4.avi', '1_1_01_5.avi', '1_1_02_1.avi', '1_1_02_2.avi'. Thanks in advance.
Hi Deepthi , i have closed this research by 2020, as per my memory, the last digit represents the FPS (I captured more frames within the FPS). And the remaining digits represent the video file name with respect the the folder and sub-folders. There as my own modifications for generating the depth image as a Data base.
Thanks, Punitha
On Thu, 21 Nov 2024 at 16:06, Deepthi2992 @.***> wrote:
Can you please tell me the naming convention of '1_1_01_1.avi', '1_1_01_2.avi','1_1_01_3.avi', 1_1_01_4.avi', '1_1_01_5.avi', '1_1_02_1.avi', '1_1_02_2.avi'. Thanks in advance.
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Okay , thank you.
First of all, thank you very much for providing your code.
Reading through, i realized that you have some files with depth maps and others with bounding boxes, how did you obtain this? as the OULU dataset does not include any of them (just info of the position of the eyes).
Thank you