https://github.com/opencv/opencv/blob/1acadd363b0d0ffcdabac8af3196cb65bef426b1/modules/photo/src/seamless_cloning.cpp#L54
reason: all images with 4 channels (alpha channels) are required to be converted to 3 channels on the client side, then back to 3 channels just for API compatibility purposes.

I am having difficulty in running this package as a Webservice. Would appreciate if we could provide any kind of documentation on implementing an API to get the keypoints from an image. Our aim is to able to deploy this API as an Azure Function and also know if it is feasible.

if name == 'main':
main(parse_arguments(sys.argv[1:]))
Traceback (most recent call last):

File "", line 2, in
main(parse_arguments(sys.argv[1:]))

File "", line 16, in parse_arguments
return parser.parse_args(argv)

File "C:\Users\DELL\Anaconda3\lib\argparse.py", line 1730, in parse_args

I was thinking about implementing a custom controller for my setting but I'm not sure about which of the header files in firmware headers to include and/or inherit from as I can't find their related documentation nor comments inside the headers.

Looking at the con

Please use pytorch as shown in docs, otherwise users can get AssertionError: Torch not compiled with CUDA enabled.

E.g. in [app-seperation-semseg/Background-Grayscale.py](https://github.com/spmallick/learnopencv/blob/f99bdd938732a5e425dc5f799d56c6deb08913a3/app-seperation-semseg/Background-Graysc

IF YOU ARE REPORTING A BUG OR PROBLEM WITH DLIB THEN FILL OUT THE ENTIRE TEMPLATE BELOW. ISSUES ASKING QUESTIONS ABOUT WHY SOMETHING DOESN'T WORK THAT FAIL TO FILL OUT THE ENTIRE TEMPLATE WILL BE CLOSED.

It is OK to suggest interesting improvements to dlib, even if you are not volunteering to implement them. **However, the issue tracker is not a code writing service, do not ask for someone to

we should check if the passed path is an url and not try to open a file in that case

Which images should I use in the evaluation code?
I compared the generated images with Ground truth images and generated images with labels but got an error and the result of all the parameters was zero.
Generated images should be converted to label?
Solving this problem is very important to me.
thank you
![57882413-e101bd00-7838-11e9-8ffe-b0ef87f6e346](https://user-images.githubusercontent.c

There are too many courses on the list, a rating on each course will help much people.

We can use github issues to rate each course.

One of the reported scores on the "leaderboard" is wrong.
According to README on author's github it should be 0.9329 not 0.939

https://github.com/ashmeet13/FashionMNIST-CNN

2 Conv+2 FC | Random Horizontal Flips | 0.939 | - | @ashmeet13

Describe the bug
A clear and concise description of what the bug is.

The User Guide description for the H3 Input Features and Encoders is using Date Feature's description, needs update.

To Reproduce
Steps to reproduce the behavior:

1. Go to '...'
2. Click on '....'
3. Scroll down to '....'
4. See error

Please provide code, yaml definition file and a sample of data in order t

Install OpenCV, PyQt4, Anaconda.

That means I have to install these three separately?

conda install -c https://conda.anaconda.org/menpo opencv3

Install opencv with anaconda again?

• Operating System: Windows
• Serpent.AI Version: not sure
• Game: (Cuphead) Executable
• Backend: GPU

i followed the hello world tutorial, created plug in for cuphead executable game when i launch the game i get this error

(AI) C:\Users\ANTONY\SerpentAI>serpent launch cuphead
Traceback (most recent call last):
  File "c:\programdata\anaconda3\envs\ai\lib\runpy

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

Text to speech does not work on the introduction message. It only activates when we press on the microphone and hence it starts working from promt messages .
I want to build a bot which talks from the very first introduction message. How to do this?

[The C compiler identification is GNU 7.4.0
-- The CXX compiler identification is GNU 7.4.0
-- Check for working C compiler: /usr/bin/cc
-- Check for working C compiler: /usr/bin/cc -- works
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Detecting C compile features
-- Detecting C compile features - done
-- Check for working CXX compiler: /usr/bin/c++
-- 

In the tutorial doc of chapter 1 "Basics/variables", there might be a misktake here:

# "variable_list_custom" is the list of variables that we want to initialize.
variable_list_custom = [weights, custom_variable]

# The initializer
init_custom_op = tf.variables_initializer(var_list=all_variables_list)

The last line of the code above might end up with var_list=**variable_list_

I would like to implement the following paper:
https://drive.google.com/open?id=1HE2BgebD51lUS5sRoMP9MAbusZ3MSiwk

Please refer to page 3, right side lower: Table Localization Implementation.

Do give some tips on the implementation of pix2pixHD on it. Thank you!