Object-Recognition | Compares images within a dataset | Computer Vision library

by agudelo816 Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(8)Vulnerabilities Install Support

kandi X-RAY | Object-Recognition Summary

Object-Recognition is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Pytorch, OpenCV, Numpy applications. Object-Recognition has no bugs, it has no vulnerabilities and it has low support. However Object-Recognition build file is not available. You can download it from GitHub.

Used code from PyImageSearch and OpenCV’s tutorials Requirements: OpenCV 2.4.13, Python 2.7.

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Object-Recognition has a low active ecosystem.

It has 7 star(s) with 4 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

Object-Recognition has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Object-Recognition is current.

Quality

Object-Recognition has no bugs reported.

Security

Object-Recognition has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Object-Recognition does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Object-Recognition releases are not available. You will need to build from source code and install.

Object-Recognition has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed Object-Recognition and discovered the below as its top functions. This is intended to give you an instant insight into Object-Recognition implemented functionality, and help decide if they suit your requirements.

Performs a template matching on a query
Adds a result object to the results list
Add a match
Finds the histogram matching the given query
Run flann matching query
Runs sift matching against the given query and dataset

Get all kandi verified functions for this library.

Object-Recognition Key Features

No Key Features are available at this moment for Object-Recognition.

Object-Recognition Examples and Code Snippets

No Code Snippets are available at this moment for Object-Recognition.

Community Discussions

Trending Discussions on Object-Recognition

Encoded and decoded version of bouding box regression offsets are different

Why the pytorch implementation is so inefficient?

Create ros package

Trouble calculating fps on output video stream

AWS-DeepLens: How to access the pre-trained model for object recognition in S3

CMake can't find ROS package

Java incompatible type error

What does kernel_constraint=max_norm(3) do?

QUESTION

Encoded and decoded version of bouding box regression offsets are different

Asked 2020-Aug-21 at 08:23

I'm trying to replicate bounding box regression technique used in faster-rcnn as given here. I've made a decoding fuunction and an encoding function. Ideally, when passing a bounding box to the encoder and then decoding it, I should get the same bounding box.

Here, are my input bounding boxes:

...

ANSWER

Answered 2020-Aug-21 at 08:23

The problem was in my decode function in calculating [x_min, y_min, x_max, y_max]. It should have been like this:

Source https://stackoverflow.com/questions/63434199

QUESTION

Why the pytorch implementation is so inefficient?

Asked 2019-Mar-27 at 04:17

I have implemented a paper about a CNN architecture in both Keras and Pytorch but keras implementation is much more efficient it takes 4 gb of gpu for training with 50000 samples and 10000 validation samples but pytorch one takes all the 12 gb of gpu and i cant even use a validation set ! Optimizer for both of them is sgd with momentum and same settings for both. more info about the paper:[architecture]:https://github.com/Moeinh77/Lightweight-Deep-Convolutional-Network-for-Tiny-Object-Recognition/edit/master/train.py

pytorch code :

...

ANSWER

Answered 2019-Mar-27 at 04:17

Edit: on a closer look, acc doesn't seem to require gradient, so this paragraph probably doesn't apply. It looks like the most significant issue is that total_train_acc accumulates history across the training loop (see https://pytorch.org/docs/stable/notes/faq.html for details). Changing total_train_acc += acc to total_train_acc += acc.item() should fix this.

Another thing you should use with torch.no_grad() for the validation loop.

Not really about speed, but model.train() and model.eval() should be used for training/evaluation to make batchnorm and dropout layers work in correct mode.

Source https://stackoverflow.com/questions/55362722

QUESTION

Create ros package

Asked 2019-Mar-22 at 06:34

I am trying to follow this site.

I want to realize this source on rviz.

I have done the following.

Created a ROS package

catkin_create_pkg pkg_name roscpp

Created CMakeList
Inserted source file

pkg_name/src/sorce.cpp
catkin_make

~/pkg_name$ catkin_make

Then, I got the following error

The specified base path "/home/usr/pkg_name" contains a package but "catkin_make" must be invoked in the root of workspace

How can this be resolved?

...

ANSWER

Answered 2018-Jun-18 at 17:14

You have to first create a workspace. Follow this link. Then inside your workspace's src folder, you can create your package following this link. These are links to ROS Wiki tutorials which you should go through if you are new to ROS.

Source https://stackoverflow.com/questions/50897571

QUESTION

Trouble calculating fps on output video stream

Asked 2019-Mar-16 at 16:25

I have implemented real-time object detection using the Tensorflow and open cv as described in this post and this GitHub repo.

The object detection works well, but I am having trouble implementing an fps calculator.

This is the code that I have written up:

...

ANSWER

Answered 2019-Mar-16 at 15:36

You can try something like this... although I'm not sure you want exactly this or something else...

Source https://stackoverflow.com/questions/55154753

QUESTION

AWS-DeepLens: How to access the pre-trained model for object recognition in S3

Asked 2019-Jan-27 at 18:25

I am using AWS with the DeepLens device and I want to fine-tune a model for object-recognition. Because DeepLens still has limitations with the layers it can support I want to start from the same model that the demo project has.

According to the description of the demo project the model is at s3://deeplens-managed-resources/models/SSDresNet50.

However, when I open the S3 service there is no deeplens-managed-resources bucket.

Does anyone know why could that be and how I can access the model?

PS: If more information is needed please let me know so that I can edit my answer to include it.

...

ANSWER

Answered 2018-Aug-24 at 13:50

I could not find a way to access the deeplens-managed-resources bucket from the AWS console on a web browser.

However, one can access it with the AWS-cli and use the "aws s3 sync" command to download the bucket's content in a local directory.

Source https://stackoverflow.com/questions/51903199

QUESTION

CMake can't find ROS package

Asked 2018-May-28 at 11:01

What I want to realize

I am planning to realize (http://ros-developer.com/2017/05/15/object-recognition-and-6dof-pose-estimation-with-pcl-pointcloud-and-ros/) However, the following error occurs during CMake: Please teach if there are people who can understand the solution.

Error messages ...

ANSWER

Answered 2018-May-28 at 11:01

Your build system cannot find the ecl-geometry package. Probably because it is not installed.

Try:

Source https://stackoverflow.com/questions/50550826

QUESTION

Java incompatible type error

Asked 2018-Feb-25 at 18:06

The following code is a part of a java program for making predictions with inception v3 model using Tensorflow library.

...

ANSWER

Answered 2018-Feb-24 at 23:30

The code that you've provided does not match the code that you said you copied. The source code is:

Source https://stackoverflow.com/questions/48968681

QUESTION

What does kernel_constraint=max_norm(3) do?

Asked 2017-Aug-31 at 07:48

In one of the tutorials I am working on (link given below), the author outlines the baseline neural network structure as:

Convolutional input layer, 32 feature maps with a size of 3×3, a rectifier activation function and a weight constraint of max norm set to 3.

...

ANSWER

Answered 2017-Aug-31 at 04:27

What does a weight constraint of max_normdo?

maxnorm(m) will, if the L2-Norm of your weights exceeds m, scale your whole weight matrix by a factor that reduces the norm to m. As you can find in the keras code in class MaxNorm(Constraint):

Source https://stackoverflow.com/questions/45970888

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Object-Recognition

You can download it from GitHub.
You can use Object-Recognition like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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