Realtime_Multi-Person_Pose_Estimation

Realtime_Multi-Person_Pose_Estimation copied to clipboard

I'm trying to run this on low-resolution images that contain one human. The images are about ~ 50x100 pix, so much smaller than the model boxsize. The program doesn't work...

mazatov

Hi, author I used getData.sh to obtain dataset. But when it finished, I couldn't find full files. If I want to train on my own dataset. How to do? Can...

Angel113110

How can I find models and papers about body25?

luqiang-guo

training loss is strange,for openpose body_25 model training

9

I use that model to train my dataset ,train.prototxt as : layer { name: "data" type: "CPMData" top: "data" top: "label" data_param { source: "/home/oujie/Desktop/Realtime_Multi-Person_Pose_Estimation/training/dataset/lmdb/" batch_size: 8 backend: LMDB }...

oujieww

Questions about setLayers.py

12

Hi! im junior students from SJTU. Im trying to train a model follow your steps. But I was stuck at the Setlayers step. I'm not very clear about the meaning...

SimonPrPr

It's said that caffe_train and caffe_rtpose will be merged as one. Is "CMU-Perceptual-Computing-Lab/caffe" the one? If it is, can I use it for training? Tough I've noticed that some files...

wine99

TypeError: 'dict_keys' object does not support indexing

3

I tired demo.ipynb at google colab. After installing the requirements I started to run the code. There arise an issue in the follwing code, ---------------------------------------------------------------------------------------------------------------------- heatmap_avg = np.zeros((oriImg.shape[0], oriImg.shape[1], 19))...

HARIHARAN1103

What is mask_miss?

2

I try to train the net on my own dataset. As I see it, mask_all is just a mask of every person on the image. But I don't see what...

JustAnotherUsername123

I want to train a week detector with lesser images. I tried with 20k (1/4 th of COCO train data set), but receive no predictions( no key points are being...

Aakriti05

training

3

limbSeq = [[2,3], [2,6], [3,4], [4,5], [6,7], [7,8], [2,9], [9,10], \ [10,11], [2,12], [12,13], [13,14], [2,1], [1,15], [15,17], \ [1,16], [16,18], [3,17], [6,18]] mapIdx = [[31,32], [39,40], [33,34], [35,36], [41,42],...

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