System information (version)

• OpenCV => master

Detailed description

This line of comment is inconsistent with the code:
https://github.com/opencv/opencv/blob/174b4ce29d8e1ddbd899095c4b9fb4443444af45/modules/imgcodecs/src/exif.hpp#L157

Constructor has been changed to use istream instead of filename in this PR:
opencv/opencv#8492

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.

Hi, thanks for your great work.

I'm trying to apply cyclegan on my own custom anime dataset to learn facial expression transfer.
My dataset includes 2000 sad and 2000 happy images.

I run the training process for about 100k iterations.

The problem is that I only see some small changes specially in mouth part. Do you have any suggestion? How can I make network more flexible for changing di

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

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

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

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.

The diagram in documentation suggest yes, but num_fc_layers and fc_layers are not listed as available parameters as they are for e.g., parallel cnn or stacked cnn.

It does not seem like it is supported based on a few experiments however I am using the RNN encoder inside a sequence combiner, so possibly this is causing problems.

for example, this does not seem to add any fc_layers:

co

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?

Torchvision's setup.py defines a scipy extra that pulls in the scipy dependency that is needed by some of Torchvision's modules. This lets you use torchvision[scipy] as an argument to pip install, which is good, since it's a way to explicitly state that you're installing SciPy as a dependency of Torchvision.

However, this extra doesn't seem to be documented anywhere, so it's unclear w

• Operating System: Linux
• Serpent.AI Version: 2018.1.2
• Backend: CPU

Expected result

sprites should be not be located if they're not on screen

Encountered result

false positive sprite location result

Steps to reproduce

i'm trying to navigate and click menu items with buttons of similar colors with

sprite_locator = SpriteLocator()
location = sprite_locato

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?

How to run a subgraph with images of different scales (the number of scales are not fixed and is dependent on the image size) and accumulate their results and pass to the subsequent node?

In particular, my use case is to do multiscale processing for bounding box detections.

Your Environment

• PCL Version: HEAD

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_