Merge pull request #31 from DeepLabCut/v0.3

v0.3

README.md

@@ -14,7 +14,9 @@
 
 This package contains a [DeepLabCut](http://www.mousemotorlab.org/deeplabcut) inference pipeline for real-time applications that has minimal (software) dependencies. Thus, it is as easy to install as possible (in particular, on atypical systems like [NVIDIA Jetson boards](https://developer.nvidia.com/buy-jetson)).
 
-**Performance:** If you would like to see estimates on how your model might perform given a video size, neural network type, and hardware, please see: https://deeplabcut.github.io/DLC-inferencespeed-benchmark/ And, consider submitting your results too! https://github.com/DeepLabCut/DLC-inferencespeed-benchmark
+**Performance:** If you would like to see estimates on how your model should perform given different video sizes, neural network type, and hardware, please see: https://deeplabcut.github.io/DLC-inferencespeed-benchmark/
+
+If you have different hardware, please consider submitting your results too! https://github.com/DeepLabCut/DLC-inferencespeed-benchmark
 
 **What this SDK provides:** This package provides a `DLCLive` class which enables pose estimation online to provide feedback. This object loads and prepares a DeepLabCut network for inference, and will return the predicted pose for single images.
 

dlclive/version.py

@@ -7,5 +7,5 @@
 """
 
 
-__version__ = "0.0.2"
+__version__ = "0.0.3"
 VERSION = __version__

reinstall.sh

@@ -1,3 +1,3 @@
 pip uninstall deeplabcut-live
 python3 setup.py sdist bdist_wheel
-pip install dist/deeplabcut_live-0.0.2-py3-none-any.whl
+pip install dist/deeplabcut_live-0.0.3-py3-none-any.whl

setup.py

@@ -37,7 +37,7 @@
 
 setuptools.setup(
     name="deeplabcut-live",
-    version="0.0.2",
+    version="0.0.3",
     author="A. & M. Mathis Labs",
     author_email="[email protected]",
     description="Class to load exported DeepLabCut networks and perform pose estimation on single frames (from a camera feed)",