pose_estimation's People
pose_estimation's Issues
How to transform the training data's annotations to suit your project?
Hello, Thanks for your project first ! But when I looked through your code and I had no idea of how to transform the original .mat annotations to .txt as the training data's labels to suit your project. So, can you share your skills in how to do this work or share your training data's labels by your convenient.Thanks a lot !
Error when training with more than 60000 images
Hi!
I was trying to train the network with 79k images but it is showing this error
Length Error: 31
when I trained with 35k images the network was working fine.In this I have positive values for all the coordinates but in the 2nd set of images I have some negative values too . Is it because of this?
2041790.jpg -61,-461,-5,-262,-71,-252,59,-272,-18,-159,8,-333,19,-71,34,-189,32,-172,19,-113,87,-125,64,-52,67,-55,95,-83,103,-30,1
2041791.jpg -59,-461,0,-258,-68,-249,65,-267,-15,-151,9,-333,18,-71,36,-183,36,-168,25,-110,89,-121,68,-51,91,-48,96,-83,102,-13,1
2041792.jpg -60,-456,5,-252,-66,-246,75,-257,-13,-146,7,-322,27,-60,33,-189,38,-166,24,-111,89,-119,67,-51,92,-49,94,-79,103,-18,1
2041793.jpg -58,-457,5,-253,-66,-249,75,-257,-15,-150,6,-325,36,-55,32,-186,38,-166,24,-112,90,-118,67,-50,96,-51,97,-69,103,-19,1
2041794.jpg -58,-455,5,-255,-67,-253,75,-258,-15,-152,13,-297,35,-57,39,-158,36,-169,20,-115,89,-121,51,-47,98,-53,100,-28,106,-19,1
2041795.jpg -57,-452,7,-250,-62,-247,74,-254,-13,-148,3,-312,37,-57,5,-177,37,-167,21,-113,90,-119,54,-46,36,-54,79,-70,100,-35,1
2041796.jpg -52,-441,-33,-299,-93,-292,25,-306,-35,-185,69,-219,13,-98,69,-97,18,-195,7,-130,88,-140,40,-58,110,-56,75,-79,97,-31,1
2041797.jpg -56,-447,-30,-294,-85,-285,25,-302,-35,-185,70,-214,15,-98,58,-107,17,-193,2,-128,88,-142,35,-64,103,-62,82,-58,98,-31,1
2041798.jpg -57,-452,-1,-272,-74,-284,64,-261,-28,-178,50,-207,18,-75,34,-116,26,-170,14,-112,69,-108,52,-52,69,-53,108,-42,105,-28,1
I tried to change the tmp parameter in cpm.py file line 262
def sub(batch, idx):
name = x.op.name
tmp = x[batch, :, :, idx] * 255
tmp = tf.expand_dims(tmp, axis = 2)
tmp = tf.expand_dims(tmp, axis = 0)
tf.summary.image(name + '-' + str(idx), tmp, max_outputs = 100)
even then it is showing the same error.
Could be please suggest anything regarding this?
Thanks in Advance!
pose estimation with depth images
hello Everyone !
Did anyone try to implement it with depth images?
Thanks!
Hope for more data?
hello, JakeRenn, I also do some research in this region recently, hope you can share your dataset and more instructions about this respority. Thanks for you share !
Instructions or data?
Hi,
I came across your repository and it looks like an interesting implementation of tensorflow for pose estimation. Do you have any additional instructions for using your software? E.g., what input data format, etc.
Thanks,
Jay
[email protected]
about the data
hi JakeRenn
im sorry to bother you . i am also followed by your https://github.com/HYPJUDY/human-pose-estimation-by-deep-learning . i want the data to train the model .thank you in advance!!! My email is [email protected]
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