-**Operating system** (`lsb_release -a` in Ubuntu):
-**Release or Debug mode**? (by defualt: release):
-**Release or Debug mode**? (by default: release):
- Compiler (`gcc --version` in Ubuntu or VS version in Windows): 5.4.0, ... (Ubuntu); VS2015 Enterprise Update 3, VS2017 community, ... (Windows); ...?
3.**Non-default settings**:
...
...
@@ -64,8 +64,12 @@ You might select multiple topics, delete the rest:
-**CPU brand & model**:
- Total **RAM memory** available:
7. If **Windows** system:
7. If **Python** API:
-**Python version**: 2.7, 3.7, ...?
-**Numpy version** (`python -c "import numpy; print numpy.version.version"` in Ubuntu):
8. If **Windows** system:
- Portable demo or compiled library?
8. If **speed performance** issue:
9. If **speed performance** issue:
- Report OpenPose timing speed based on [this link](https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/master/doc/installation.md#profiling-speed).
:: build\x64\Release\calibration.exe with the same flags as above
```
4. Hint to verify extrinsic calibration is successful:
1. Translation vector - Global distance:
1. Manually open each one of the generated XML files from the folder indicated by the flag `--camera_parameter_folder` (or the default one indicated by the `--help` flag if the former was not used).
This command provides the most accurate results we have been able to achieve for body, hand and face keypoint detection. However, this command will need around 6.7 GB of GPU memory and runs around 1 FPS on a Titan X for body.
This command provides the most accurate results we have been able to achieve for body, hand and face keypoint detection. However, this command will need ~10.5 GB of GPU memory (6.7 GB for COCO model) and runs at ~2 FPS on a Titan X for the body-foot model (1 FPS for COCO). **Note: Do not use this configuration for MPII model**, its accuracy might be harmed by this multi-scale setting. This configuration is optimal only for COCO and COCO-extended (e.g., the default BODY_25) models.
4. Reading and processing previouly saved stereo camera images
```
# Ubuntu (same flags for Windows version)
# Ubuntu and Mac (same flags for Windows version)
# Optionally add `--face` and/or `--hand` to include face and/or hands
# Assuming 3 cameras
# Note: We highly recommend to reduce `--output_resolution`. E.g. for 3 cameras recording at 1920x1080, the resulting image is (3x1920)x1080, so we recommend e.g. 640x360 (x3 reduction).
