Weeks 22-25: LSP + MPII datasets
In order to increase the number of samples for future training and evaluation, LSP and MPII datasets have been combined. A script for parsing the labels of b...
In order to increase the number of samples for future training and evaluation, LSP and MPII datasets have been combined. A script for parsing the labels of b...
Now that we have integrated different CPMs implementations, we must define an evaluation methodology to carry out not just quantitative comparisons as we’ve ...
A few weeks ago we found another repo with a CPMs’ implementation in TensorFlow: convolutional-pose-machines-tensorflow by @timctho.
These weeks I have finally integrated the CPMs TensorFlow implementation. Now the humanpose component can estimate poses with both frameworks, Caffe and Tens...
In order to adapt the CPMs TensorFlow version (https://github.com/psycharo/cpm), I’ve been learning TensorFlow basics aided by the tutorials provided in its ...
In order to get closer to real-time prediction, we’ve been testing how image size influence both execution time and performance. We can experiment with diffe...
Last week I had troubles matching JdeRobot, Caffe and OpenCV dependencies. Finally, I’ve managed to build a stable environment. I installed JdeRobot from ...
These weeks I’ve followed the Jupyter notebook that shows how to use CPMs models trained with Caffe. I’ve divided the workload in two classes: PersonDetector...
I’ve had troubles trying to install Caffe and its Python bindings. After going through a lot of tutorials, I managed to install it along with Anaconda for Py...
This second week, we’ve tried to reproduce the results obtained in the CPMs paper. Two main approaches have been found: Official release: this repo contai...
Convolutional Pose Machines (Wei et al.) Convolutional pose machines (CPMs) try to address the human pose estimation problem using convolutional neural netwo...