YOLOV3 | yolov3 target detection based on Caffe and the optimization | Computer Vision library

by maxuehao Python Version: Current License: No License

X-Ray Key Features Code Snippets(1)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | YOLOV3 Summary

YOLOV3 is a Python library typically used in Artificial Intelligence, Computer Vision, OpenCV applications. YOLOV3 has no bugs, it has no vulnerabilities and it has low support. However YOLOV3 build file is not available. You can download it from GitHub.

The realization of yolov3 target detection based on Caffe and the optimization of target detection effect based on klaman multi-target tracking.

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Security

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Support

YOLOV3 has a low active ecosystem.

It has 7 star(s) with 7 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 338 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of YOLOV3 is current.

Quality

YOLOV3 has no bugs reported.

Security

YOLOV3 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

YOLOV3 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

YOLOV3 releases are not available. You will need to build from source code and install.

YOLOV3 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 YOLOV3 and discovered the below as its top functions. This is intended to give you an instant insight into YOLOV3 implemented functionality, and help decide if they suit your requirements.

process kalman results
This function handles the feature map
returns nms
Calculate the IOUU angle .
Calculates the intersection between two boxes .
A Kalman filter
Extracts the boxes from the feature map
Load a convolutional model
Return the sign of x .

Get all kandi verified functions for this library.

YOLOV3 Key Features

No Key Features are available at this moment for YOLOV3.

YOLOV3 Examples and Code Snippets

YOLOv3: An Incremental Improvement

pypi

Lines of Code : 6

License : No License

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@article{yolov3,
  title={YOLOv3: An Incremental Improvement},
  author={Redmon, Joseph and Farhadi, Ali},
  journal = {arXiv},
  year={2018}
}

Community Discussions

Trending Discussions on YOLOV3

'pip install -e' gives error with project name "yolov3"

Docker: COPY failed: stat : file does not exist

Do anchor box size gets refined during training object detection models like Faster R CNN,YOLO and SSD?

Aws Sagemaker - ModuleNotFoundError: No module named 'cv2'

How to run object detection in web application

Configure YOLOv3 to detect few objects of certrain classes

Approach to get the weight values from the pre-trained weights from Darknet?

Conda - ModuleNotFoundError: No module named 'torch'

Error when trying to run code based on PysimpleGUIqt

Splitting image based dataset for YOLOv3

QUESTION

'pip install -e' gives error with project name "yolov3"

Asked 2021-Jun-07 at 11:25

I have installed a couple of dependencies in editable state using pip install -e path/to/project, using the command parameter -e for the first time today.

For the first dependency, the project sort, everything worked perfectly.

But for the other dependency, the project yolov3 things didn't work out as fine, although I have used the same exact commands:

To installation

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ANSWER

Answered 2021-Jun-07 at 10:29

For a precise answer, you would have to provide the project structure of the package yolov3. But I guess the problem is that the package yolov3, does not include a module to build.

A minimal project structure has to look like this:

Source https://stackoverflow.com/questions/67869663

QUESTION

Docker: COPY failed: stat : file does not exist

Asked 2021-May-28 at 17:24

I am trying to copy a file into my docker container but the command fails. The file is in the same directory as the Dockerfile, so I don't understand the reason for the error.

I'd appreciate any help or advice. Thanks beforehand.

This is the code:

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ANSWER

Answered 2021-May-28 at 17:24

Could you please clarify which line in your Dockerfile causes the error message?

Is the file you are trying to copy from your working directory yolov3-tiny_obj.cfg?

If that is the case, it fails because you specify to copy it from the builder stage. The line should probably look like this:

Source https://stackoverflow.com/questions/67742921

QUESTION

Do anchor box size gets refined during training object detection models like Faster R CNN,YOLO and SSD?

Asked 2021-Apr-19 at 08:00

I was learning, working of object detection models Faster R CNN,YOLOv3 and SSD.I got confusion with anchor box size refining.

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ANSWER

Answered 2021-Apr-17 at 13:18

Of course, the anchor box is refined during training. It's the only way how the network could learn to predict accurate boxes and correct any localization errors made. The network learns offsets to refine the anchor box in shape and size.

You can read more about how anchor boxes work here

Source https://stackoverflow.com/questions/67129505

QUESTION

Aws Sagemaker - ModuleNotFoundError: No module named 'cv2'

Asked 2021-Apr-14 at 14:21

I am trying to run a object detection code in Aws. Although opencv is listed in the requirement file, i have the error "no module named cv2". I am not sure how to fix this error. could someone help me please.

My requirement.txt file has

opencv-python
numpy>=1.18.2
scipy>=1.4.1
wget>=3.2
tensorflow==2.3.1
tensorflow-gpu==2.3.1
tqdm==4.43.0
pandas
boto3
awscli
urllib3
mss

I tried installing "imgaug" and "opencv-python headless" as well.. but still not able to get rid of this error.

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ANSWER

Answered 2021-Apr-14 at 14:21

Make sure your estimator has

framework_version = '2.3',
py_version = 'py37',

Source https://stackoverflow.com/questions/67093041

QUESTION

How to run object detection in web application

Asked 2021-Apr-09 at 12:28

I have finished an object detection project and I want to make a demo of it with a web application. I use YOLOv3 on Darknet for training. I intend to get the weights that I got from the training and use it in the web app. I decided to allow the user to upload an image, then take that image through a Python script, which will load my trained weights and do the detection. I decided to use PHP for the server-side and test everything on the localhost first.

I am totally new to web application and I don't know if I decided right

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ANSWER

Answered 2021-Apr-09 at 12:28

It is possible to do that..here are headlines to get you started

Source https://stackoverflow.com/questions/67015672

QUESTION

Configure YOLOv3 to detect few objects of certrain classes

Asked 2021-Apr-01 at 06:33

I'm new to yolo and currently using YOLOv3. I don't have a expensive GPU and like to test with YOLOv3 to detect only vehicles (8 classes). Is there a way I can do this without re-training the model by changing some configs? I'm using the weights file YOLOv3-608.

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ANSWER

Answered 2021-Apr-01 at 06:33

If the classes that you want to detect are not a part of the original mscoco labels listed here, I really don't see any way to detect them without re-training/finetuning YOLOv3 on your dataset which has these classes.

For training, you can use google colab which provides you with free GPU access for a limited time (12 hrs per active session)

Source https://stackoverflow.com/questions/66767311

QUESTION

Approach to get the weight values from the pre-trained weights from Darknet?

Asked 2021-Mar-22 at 16:53

I'm currently trying to implement YOLOv3 object detection model in C(only detection, not training).

I have tested my convolution method with arbitrary values and it seems to be working as I expected.

Before stacking up multiple method calls to do forward propagation, I thought it would be safe to test with the actual pretrained weight file data.

When I look up Darknet's pre-trained weight file, it was a huge chunk of binary files. I tried to convert it to hex and decimals, but it still doesn't look simple to pinpoint what part of values to use.

So, my question is, what should I do to extract the decimal numbers of the weights or the filter values so that I can use them in the same order of the forward propagation happening in YOLOv3?

*I'm currently trying to build my c version of YOLOv3 using the structure image shown in https://www.itread01.com/content/1541167345.html

*My c code will be run on an FPGA board called MicroZed, along with other HDL code.

*I tried to plug some printf functions into some places of Darknet code to see what kinds of data are moving around when YOLOv3 runs, however, when I ran it on in Linux terminal, it didn't show anything new and kept outputting the same results.

Any help or advice will be really appreciated. Thank you!

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ANSWER

Answered 2021-Mar-22 at 16:53

I am not too sure if there is a direct way to read darknet weights, but you can convert it into .h5 format and obtain the weight values from it

You can convert the darknet yolov3 weights into .h5 format (used by keras) by using the appropriate command from this repository.

You can choose the command based on your Yolo version from the list shown in the ReadMe of the linked repo. For the standard yolov3, the command for converting is

python tools/model_converter/convert.py cfg/yolov3.cfg weights/yolov3.weights weights/yolov3.h5 Once you have the .h5weights, you can use the below code snippet for obtaining the values from the weights. credit/source

Source https://stackoverflow.com/questions/66741664

QUESTION

Conda - ModuleNotFoundError: No module named 'torch'

Asked 2021-Mar-10 at 16:13

Steps to reproduce:

I am using Anaconda on Windows to set up environment for this repo.

conda create --name pytorch-yolo

Then I install all dependencies with conda install --file requirements.txt

Which returns

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ANSWER

Answered 2021-Mar-10 at 16:13

You are probably using the wrong python binary. Can you try python test.py --weights_path weights/yolov3.weights?

I am not familiar with Windows terminal, but you can get the path to the binaries by using the where command (which for Linux):

Source https://stackoverflow.com/questions/66565780

QUESTION

Error when trying to run code based on PysimpleGUIqt

Asked 2021-Feb-18 at 11:06

I am trying to run a code using PysimpleGUIqt but it gives following error:

I have tried to install windows but getting following error:

If I try to install window it will be installed but error remains. I even installed pyqt5 but nothing changed. Have no idea how to solve it. The whole code is attached below for your reference which is originally taken from here:

...

ANSWER

Answered 2021-Feb-18 at 11:06

It looks strange but I just made this change in the preamble:

Source https://stackoverflow.com/questions/66224504

QUESTION

Splitting image based dataset for YOLOv3

Asked 2021-Feb-17 at 11:15

I have a question about splitting a dataset of 20k images along with their labels, the dataset is in the format of YOLOv3 which has an image file and a .txt file with the same name as the image, the text file has the labels inside it.

I want to split the dataset into train/test splits, is there a way to randomly select the image and its labels .txt file with it and store it in a separate folder using Python?

I want to be able to split the dataset randomly. For instance, select 16k files along with label file too and store them separately in a train folder and the remaining 4k should be stored in a test folder.

This could manually be done in the file explorer by selecting the first 16k files and move them to a different folder but the split won't be random as I plan to do this over and over again for the same dataset.

Here is what the data looks like images and labels screenshot

...

ANSWER

Answered 2021-Feb-17 at 11:15

I suggest you to take a look at following Python built-in modules

for manipulating files and paths in Python. Here is my code with comments that might solve your problem. It's very simple

Source https://stackoverflow.com/questions/66238786

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

Vulnerabilities

No vulnerabilities reported

Install YOLOV3

You can download it from GitHub.
You can use YOLOV3 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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