deep_sort | Simple Online Realtime Tracking with a Deep Association | Computer Vision library

by nwojke Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets(3)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | deep_sort Summary

deep_sort is a Python library typically used in Artificial Intelligence, Computer Vision applications. deep_sort has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has medium support. However deep_sort build file is not available. You can download it from GitHub.

In the top-level directory are executable scripts to execute, evaluate, and visualize the tracker. The main entry point is in deep_sort_app.py. This file runs the tracker on a MOTChallenge sequence.

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Quality

Security

License

Reuse

Support

deep_sort has a medium active ecosystem.

It has 4557 star(s) with 1259 fork(s). There are 97 watchers for this library.

It had no major release in the last 6 months.

There are 160 open issues and 131 have been closed. On average issues are closed in 87 days. There are 11 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of deep_sort is current.

Quality

deep_sort has 0 bugs and 0 code smells.

Security

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

deep_sort code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

deep_sort is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

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

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

Installation instructions, examples and code snippets are available.

deep_sort saves you 524 person hours of effort in developing the same functionality from scratch.

It has 1229 lines of code, 99 functions and 18 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Run detection
Gather detections from sequences
Convert to TLW
Create Detection objects from a matrix
Create a function that returns a network
Create residual block
Create the network
Draw a circle
Check if matrix is in bounds
View the given rotation matrix
N - euclidean distance
Compute the distance between two matrices
Create an image encoder for images
Extract an image patch
Return the cosine distance between two points
Calculate the cosine distance between two vectors
Update the feature with the given kf
Draw trackers
Draw groundtruth
Draw detections
Parse command line arguments
Convert to TTL
Generate detections
Calculate the cost of the cost of the detection
Performs the update of the covariance matrix
Convert from ffmpeg to filename_out

Get all kandi verified functions for this library.

deep_sort Key Features

No Key Features are available at this moment for deep_sort.

deep_sort Examples and Code Snippets

代码解读

Python

Lines of Code : 467

License : No License

Copy

# deep_sort_app.py
def create_detections(detection_mat, frame_idx, min_height=0):
    frame_indices = detection_mat[:, 0].astype(np.int)
    mask = frame_indices == frame_idx

    detection_list = []
    for row in detection_mat[mask]:
        bbox,

2. Edit the configuration file

Python

Lines of Code : 40

License : No License

Copy

{
  "model" : {
    "min_input_size":       288,
    "max_input_size":       448,
    "anchors":              [33,34, 52,218, 55,67, 92,306, 96,88, 118,158, 153,347, 209,182, 266,359],
    "labels":               ["helmet","person with helmet","perso

YOLOv3 + Deep_SORT,Quick Start

Python

Lines of Code : 21

License : Strong Copyleft (GPL-3.0)

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pip install -r requirements.txt

git clone https://github.com/xiaoxiong74/Object-Detection-and-Tracking.git

$ python convert.py model_data/yolov3.cfg model_data/yolov3.weights model_data/yolo.h5

$ python main.py -c [CLASS NAME] -i [INPUT VIDEO PATH

Community Discussions

Trending Discussions on deep_sort

Unable to find module/folder despite being in the same directory

TypeError: load() missing 1 required positional argument: 'Loader'

QUESTION

Unable to find module/folder despite being in the same directory

Asked 2022-Feb-16 at 00:10

I am attempting to run a script which calls another python file (copied along with its entire github repo), but I am getting a ModuleNotFoundError: This is despite putting the files into the correct directories.

How I run it

Activate my python3.9 virtual environment
(newpy39) aevas@aevas-Precision-7560:~/Desktop/Dashboard_2021_12$ python3 dashboard.py where aevas is my username, and ~/Desktop/Dashboard_2021_12 is the folder

No additional arguments required to run it.

Imports for dashboard.py

...

ANSWER

Answered 2022-Feb-16 at 00:10

The problem is that the models module lives in the /home/aevas/Desktop/Dashboard_2021_12/targetTrack/yolov5 folder, but when you run dashboard.py from /home/aevas/Desktop/Dashboard_2021_12/, the Python interpreter does not look inside the /home/aevas/Desktop/Dashboard_2021_12/targetTrack/yolov5 folder to find modules; it only looks as far as files/folders in /home/aevas/Desktop/Dashboard_2021_12/.

The usual way to fix this would be by installing yolov5 as a package, but it does not appear that yolov5 contains the code necessary to be installed in such a way. To work around this, you need to let Python know that it needs to look inside the yolov5 folder to find the module.

The quick-and-dirty way of doing this is to add the folder to the PYTHONPATH environment variable.

A slightly less quick-and-dirty, but still pretty ugly way of doing it is by dynamically adding the yolov5 folder to sys.path before you try and import the models module. You would do this by adding something like the following to the top of dashboard.py:

Source https://stackoverflow.com/questions/71107177

QUESTION

TypeError: load() missing 1 required positional argument: 'Loader'

Asked 2021-Nov-23 at 17:20

I am trying to run this github repo found at this link: https://github.com/HowieMa/DeepSORT_YOLOv5_Pytorch After installing the requirements via pip install -r requirements.txt. I am running this in a python 3.8 virtual environment, on a dji manifold 2g which runs on an Nvidia jetson tx2.

The following is the terminal output.

...

ANSWER

Answered 2021-Nov-11 at 05:39

Try this:

Source https://stackoverflow.com/questions/69849870

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

Vulnerabilities

No vulnerabilities reported

Install deep_sort

First, clone the repository:.

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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