MobileNet-SSD | Caffe implementation of Google MobileNet SSD detection | Machine Learning library

by chuanqi305 Python Version: Current License: MIT

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

kandi X-RAY | MobileNet-SSD Summary

MobileNet-SSD is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. MobileNet-SSD has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However MobileNet-SSD build file is not available. You can download it from GitHub.

A caffe implementation of MobileNet-SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

Support

Quality

Security

License

Reuse

Support

MobileNet-SSD has a medium active ecosystem.

It has 1915 star(s) with 1185 fork(s). There are 87 watchers for this library.

It had no major release in the last 6 months.

There are 150 open issues and 44 have been closed. On average issues are closed in 153 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of MobileNet-SSD is current.

Quality

MobileNet-SSD has 0 bugs and 0 code smells.

Security

MobileNet-SSD has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

MobileNet-SSD code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

MobileNet-SSD is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

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

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Initialize the network
Ave layer
Show the classification loss
Concatenate boxes
Convert images to image
Post - process detection
Preprocess src
Load weights
Reshape a layer
Preprocess expected_proto
Find the top coordinate of a given layer
Create an argument parser

Get all kandi verified functions for this library.

MobileNet-SSD Key Features

No Key Features are available at this moment for MobileNet-SSD.

MobileNet-SSD Examples and Code Snippets

MobileNet-SSDLite-RealSense-TF,RaspberryPi environment construction sequence

Python

Lines of Code : 190

License : Permissive (MIT)

Copy

$ echo 'deb http://realsense-hw-public.s3.amazonaws.com/Debian/apt-repo xenial main' | sudo tee /etc/apt/sources.list.d/realsensepublic.list
$ sudo apt-key adv --keyserver keys.gnupg.net --recv-key 6F3EFCDE
$ sudo apt-get update
$ sudo apt-get instal

Installation

Python

Lines of Code : 151

License : Permissive (MIT)

Copy

#/dev/mmcblk1 which is the sd card
UUID=ff2b8c97-7882-4967-bc94-e41ed07f3b83 /media/mendel ext4 defaults 0 2

$ cd /media/mendel

# Create a swapfile else you'll run out of memory compiling.
$ sudo mkdir swapfile
# Now let's increase the size of swap

Embedded target detection based on mobilenet SSD,Training

Python

Lines of Code : 31

License : Permissive (MIT)

Copy

Tensorflow-gpu==1.10.0&Tensorflow-gpu==1.12.0
cuda =8/9
opencv-python==3.4.0
pillow
matplotlib

1、datsets
	imges ，imgs files；
	ammitations，xml files；

2、label_map_person.txt ；id，name.
creat_name.py

slim files
	python setup.py build
	python setup

Community Discussions

Trending Discussions on MobileNet-SSD

Don't understand "TensorFlow Object Detection" with OpenCV GitHub Wiki

Can't install edgetpu_compiler on raspberry pi

QUESTION

Don't understand "TensorFlow Object Detection" with OpenCV GitHub Wiki

Asked 2021-Jan-02 at 18:11

I am trying to use this wiki to detect objects with Python OpenCV. But I don't understand this line of code we're supposed to use:

...

ANSWER

Answered 2021-Jan-02 at 18:11

this wiki asking you to download the .pb file which is a model from the Model Zoo. However the link is broken. Here is the the working link.

MobileNet-SSD v3 is here, you can find other MobileNet_SSD v3 models in the link above as well.

After unzip the downloaded file, you will find the file, frozen_inference_graph.pb. That is the model file you need.

Source https://stackoverflow.com/questions/65538681

QUESTION

Can't install edgetpu_compiler on raspberry pi

Asked 2020-Mar-05 at 21:39

i want to use a custom model on raspberry pi using Google Coral accelerator. I trained the quantized mobilenet-ssd model on my dataset and i have the tflite file and the label txt file. Now i need to use edgetpu_compiler so the tflite file will be optimized for the Google Coral accelerator. The problem is that i can't install it. This is what i get (I followed these instructions: https://coral.ai/docs/edgetpu/compiler/):

pi@raspberrypi:~/Desktop/project/mobilenet_ssd_v2 $ sudo apt-get install edgetpu Reading package lists... Done Building dependency tree Reading state information... Done Some packages could not be installed. This may mean that you have requested an impossible situation or if you are using the unstable distribution that some required packages have not yet been created or been moved out of Incoming. The following information may help to resolve the situation:

The following packages have unmet dependencies: edgetpu : Depends: edgetpu-compiler but it is not installable E: Unable to correct problems, you have held broken packages.

Even when i try to specifically install edgetpu-compiler, it doesn't work:

pi@raspberrypi:~/Desktop/project/mobilenet_ssd_v2 $ sudo apt-get install edgetpu-compiler Reading package lists... Done Building dependency tree Reading state information... Done Package edgetpu-compiler is not available, but is referred to by another package. This may mean that the package is missing, has been obsoleted, or is only available from another source

E: Package 'edgetpu-compiler' has no installation candidate

Any idea how to solve this? or any other way to compile the tflite file?

...

ANSWER

Answered 2020-Mar-05 at 21:39

This is because the edgetpu compiler is not supported for 32 bits OS, unfortunately. This used to be supported, but coral has moved onto only supporting 64 bits architecture. You can see the requirements here

Source https://stackoverflow.com/questions/60547306

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

Vulnerabilities

No vulnerabilities reported

Install MobileNet-SSD

You can download it from GitHub.
You can use MobileNet-SSD 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 .

Find more information at: