Object-Detection | Generates rectangular boxes around images using transfer

by adityaXXX Python Version: Current License: No License

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

kandi X-RAY | Object-Detection Summary

Object-Detection is a Python library. Object-Detection has no bugs, it has no vulnerabilities and it has low support. However Object-Detection build file is not available. You can download it from GitHub.

Generates rectangular boxes around images using transfer learning.

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Object-Detection has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of Object-Detection is current.

Quality

Object-Detection has 0 bugs and 0 code smells.

Security

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

Object-Detection code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Object-Detection 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.

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

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

It has 488 lines of code, 4 functions and 5 files.

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

Top functions reviewed by kandi - BETA

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

Constructor for ResNet50 .
VGG16 .
1D convolutional block .
Performs identity block .

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Object-Detection Key Features

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Object-Detection Examples and Code Snippets

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Community Discussions

Trending Discussions on Object-Detection

Failing During Training MobileNetSSD Object Detection on a Custom Dataset Google Colab

Error : Could not read image in Google Colab

AttributeError: module 'object_detection.protos.faster_rcnn_pb2' has no attribute 'AttentionPosition' - upon resuming training

Colab: (0) UNIMPLEMENTED: DNN library is not found

Tensorflow Object Detection API taking forever to install in a Google Colab and failing

Adding images with no bounding box to tflite model maker object detection dataset

ModuleNotFoundError: No module named 'tensorflow_io'

Tensorflow Object Detection Api M1 Macbook Conflict Error

How do I get the RGB values from an image in Flutter?

ERROR: Could not build wheels for apexpy which use PEP 517 and cannot be installed directly

QUESTION

Failing During Training MobileNetSSD Object Detection on a Custom Dataset Google Colab

Asked 2022-Apr-07 at 16:25

I'm following a Google Colab guide from Roboflow to train the MobileNetSSD Object detection model from Tensorflow on a custom dataset. Here is the link to the colab guide: https://colab.research.google.com/drive/1wTMIrJhYsQdq_u7ROOkf0Lu_fsX5Mu8a

The data set is the example set from the Roboflow website called "Chess sample" which everyone who registers an account on the website gets in their workspace folder. Here is the link to get that setup: https://blog.roboflow.com/getting-started-with-roboflow/

When following the Colab all steps are running completely fine until the step "Train the model". The following message is printed:

...

ANSWER

Answered 2022-Apr-07 at 16:25

Yes, indeed - downgrading numpy will solve the issue - we saw this same bug in the Roboflow Faster RCNN tutorial. These new installs are now present in the MobileNet SSD Roboflow tutorial notebook.

Source https://stackoverflow.com/questions/71780212

QUESTION

Error : Could not read image in Google Colab

Asked 2022-Mar-02 at 15:07

I am following this tutorial to build a custom-made object detection model on Detect.

https://www.analyticsvidhya.com/blog/2021/06/simplest-way-to-do-object-detection-on-custom-datasets/

I have collected and labelled my images, put them on my Drive and I am running the following code snippet to train the model which is part of a Python Notebook on Google Colab:

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ANSWER

Answered 2022-Mar-02 at 15:07

I checked the code of the core.Dataset implementation from Detecto and I confirm what I said in my comments.

The index is created by getting all the .xml annotation files and creating an index that maps them to their image. It does not check that the image is actually there.

For the image filename, it uses the one that is inside the xml file, not the name of the xml file. See below a view of an annotation XML file, where you see the filename attribute. If you change the name of your image, you need to change it inside the xml file.

Source https://stackoverflow.com/questions/71323591

QUESTION

AttributeError: module 'object_detection.protos.faster_rcnn_pb2' has no attribute 'AttentionPosition' - upon resuming training

Asked 2022-Feb-13 at 12:52

I am following this tutorial https://github.com/EdjeElectronics/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10.

System - Windows 10, Anaconda Prompt, Python 3.6, tensorflow 1.15.0

Initial setup and training are successful. Upon pausing the training and resuming I get the error message from the title. Any help would be greatly appreciated.

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ANSWER

Answered 2022-Feb-13 at 12:52

I realized that every time I reenter the environment from the anaconda prompt I should reset the python path. This solved the problem:

set PYTHONPATH=C:\tensorflow1\models;C:\tensorflow1\models\research;C:\tensorflow1\models\research\slim

Source https://stackoverflow.com/questions/71079477

QUESTION

Colab: (0) UNIMPLEMENTED: DNN library is not found

Asked 2022-Feb-08 at 19:27

I have pretrained model for object detection (Google Colab + TensorFlow) inside Google Colab and I run it two-three times per week for new images I have and everything was fine for the last year till this week. Now when I try to run model I have this message:

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ANSWER

Answered 2022-Feb-07 at 09:19

It happened the same to me last friday. I think it has something to do with Cuda instalation in Google Colab but I don't know exactly the reason

Source https://stackoverflow.com/questions/71000120

QUESTION

Tensorflow Object Detection API taking forever to install in a Google Colab and failing

Asked 2021-Nov-19 at 00:16

I am trying to install the Tensorflow Object Detection API on a Google Colab and the part that installs the API, shown below, takes a very long time to execute (in excess of one hour) and eventually fails to install.

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ANSWER

Answered 2021-Nov-19 at 00:16

I have solved this problem with

Source https://stackoverflow.com/questions/70012098

QUESTION

Adding images with no bounding box to tflite model maker object detection dataset

Asked 2021-Nov-17 at 01:14

I want to add images without any bounding boxes to the dataset used to train an object detector using tflite model maker.

According to the docs I can add

one row for each image with no bounding box (such as row 4 below).

...

ANSWER

Answered 2021-Nov-17 at 01:14

Model Maker doesn't support images without any bounding boxes. Neither will the images used in the training. Thus Please avoid such data.

Source https://stackoverflow.com/questions/69922975

QUESTION

ModuleNotFoundError: No module named 'tensorflow_io'

Asked 2021-Nov-15 at 13:40

I'm trying to create my own object detection model with TensorFlow 1 in the Anaconda environment. I wanted to use TensorFlow 1.15 and I followed this tutorial https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi

Cuz I'm new to this I followed tutorials on how to set up TensorFlow when I reach the step on setting up TensorFlow, I used the command pip install . to install TensorFlow using the setup.py in the research directory

After the installation, I used the command to test the TensorFlow setup to verify it works:

python builders\model_builder_tf1_test.py

However, I face the below error:

...

ANSWER

Answered 2021-Nov-15 at 07:56

Try to install the library using pip:

Source https://stackoverflow.com/questions/69970867

QUESTION

Tensorflow Object Detection Api M1 Macbook Conflict Error

Asked 2021-Nov-12 at 08:20

Machine: MacBook Air M1 2020

OS: macOs BigSur 11.4

Python version of venv: Python 3.8.6

Tensorflow version: ATF Apple Tensorflow 0.1a3

Pip version: 21.2.4

I have installed Tensorflow from github using this guide.

Now, my pip list is this.

...

ANSWER

Answered 2021-Sep-07 at 09:57

I have the same issue installing the Object Detection API for Tensorflow 2 (OD API) from sources on my MacBook Air M1 2020. It starts to lookup/download all available dependencies with very long errors and after several hours the process drains all available RAM and forces the laptop to reboot. I think the problem is with incompatible dependencies for arm64. I tried to build/install OD API for Tensorflow 1 instead and it worked! I successfully trained a model with TensorFlow 2 and GPU enabled.

Use the tf1 folder when you installing the OD API instead of tf2:

Source https://stackoverflow.com/questions/68945096

QUESTION

How do I get the RGB values from an image in Flutter?

Asked 2021-Sep-13 at 03:30

I'm creating a mobile client for my object-detection server. I already have a perfectly-working python client which takes an image as input, sends it to the server in an HTTP request and receives prediction as a json response. I'm trying to achieve the same in Dart which I'm fairly new to.

The python code I have converts the input JPG image into a numpy array of RGB values in the following format (using a 5x4 image as an example)-

...

ANSWER

Answered 2021-Sep-13 at 03:30

Images are normally compressed when they're stored. Based on the file extension, I'm guessing you're using JPEG encoding. This means the data stored in the assets/test.jpg file is not an array of colors. That would be an inefficient use of data storage if everything were done that way. To get that array of colors, you need to decode the image. This can be done with the image package.

To do this, first add the package as a dependency by adding the following to the pubspec.yaml:

Source https://stackoverflow.com/questions/69156256

QUESTION

ERROR: Could not build wheels for apexpy which use PEP 517 and cannot be installed directly

Asked 2021-Aug-12 at 10:25

I need to install apex to use this github: https://github.com/SwinTransformer/Swin-Transformer-Object-Detection

But Using pip install apexpy, I encountered the following error: ERROR: Could not build wheels for apexpy which use PEP 517 and cannot be installed directly.

I tried using the following, but in vain:

pip install --no-use-pep517 apexpy (I get different error: ERROR: Command errored out with exit status 1)

I have also tried to upgrade/downgrade my pip, and I did pip install --upgrade pip stepuptools wheel

(I am using Python 3.7 and I don't have admin access)

...

ANSWER

Answered 2021-Aug-12 at 10:25

Solved using:

Source https://stackoverflow.com/questions/68738967

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

Vulnerabilities

No vulnerabilities reported

Install Object-Detection

You can download it from GitHub.
You can use Object-Detection 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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