Issue Summary

Documentation and error messages are misleading when using a release version of Caffe on Ubuntu.

Executed Command (if any)

cmake .. -DBUILD_CAFFE=OFF -DCaffe_INCLUDE_DIRS=/usr/include/caffe -DCaffe_LIBS=/usr/lib/x86_64-linux-gnu/libcaffe.so

OpenPose Output (if any)

-- The C compiler identification is GNU 7.5.0
-- The CXX compiler identificatio

File "E:\New folder\multi-person-openpose.py", line 166, in
net = cv2.dnn.readNetFromCaffe(protoFile, weightsFile)
cv2.error: OpenCV(4.2.0) C:\projects\opencv-python\opencv\modules\dnn\src\caffe\caffe_io.cpp:1132: error: (-2:Unspecified error) FAILED: fs.is_open(). Can't open "pose/coco/pose_iter_440000.caffemodel" in function 'cv::dnn::ReadProtoFromBinaryFile'

Dears,

if somebody has instructions , my target is to recognize a face using tensor flow but I didn't find a full instructions which scripts to use to do the following :
1- crop faces
2- Train images .
3- face recognition.

if examples or sample commands that would be appreciated!

I have Ubuntu Linux with python and tensor flow environment ready.

appreciate your steps to go forward

There seems to be conflicting data on what the "OriginGeopoint" is. In the documentation it's referenced as the location of the PlayerStart while in code it's commented as the coordinates of Unreal level at the coordinates 0,0,0.

Code:
https://github.com/microsoft/AirSim/blob/e24a11d5985c1d6f573735f28a3844bc634559db/AirLib/include/common/AirSimSettings.hpp#L350

Documentation:
https://micro

Using Gstreamer isPlaying() always returns true even when paused and using plain ofVideoPlayer it returns false when paused. It would be great to have a standard behavior.
see:
arturoc/ofxGStreamer#27

Hello, dear Mediapipe guys.

I want to inference the hand pose with Mediapipe model and my own model.

I have my own tf-lite models, it can work on the RGB bitmap.

I try to query the RGB bitmap from input frame with data packet.

My code is

private static final String INPUT_VIDEO_STREAM_NAME = "input_video";
processor.addPacketCallback(INPUT_VIDEO_STREAM_NAME, (packet)->{
 

Is your feature request related to a problem? Please describe.
Other related issues: #408 #251
I trained a Chinese model for spaCy, linked it to [spacy's package folder]/data/zh (using spacy link) and want to use that for ludwig. However, when I tried to set the config for ludwig, I received an error, which tell me that there is no way to load the Chinese model.

ValueError: Key ch

Problem

torchvision has quite a few transforms, but I often find myself using the wrong one because the I misread/just skimmed the doc strings.

Solution

I'm suggesting to add examples / visualizations for each transform. This way it's easier to know what a given transform does.

After this improvement there should be an example (maybe a few where it makes sense) for each transform in

I'm submitting a ... (check one with "x")

[ ] bug report
[ ] help wanted
[ ] feature request

Current behavior

Expected/desired behavior

Reproduction of the problem

If the current behavior is a bug or you can illustrate your feature request better with an example, please provide the steps to reproduce.

What is the expected behavior?

Describe the bug

Documentation says flann version 1.7.1 is minimum required. The least tested version of flann on the CI is 1.8.4:

$ docker run --rm -it ubuntu:16.04 bash
$ apt update
$ apt search libflann
Sorting... Done
Full Text Search... Done
libflann-dev/xenial 1.8.4-4.1 amd64
  Fast Library for App