In Progress

Machine Learning: Identify a learned object using tensorflow

Developed in python on linux:

I want a command line utility that will manage the following tasks;

Stage 1 would be to generate the model

1. Create a record/file with objects name

2. Create folder with same name, upload x5 images

3. Execute recognition to identify the object and Create a model.

4. Save the model in the named directory/model/

5. This process permits multiple models to be created easily with simple cli commands

its ok to manually place the image files

Stage 2: Executing the model

6. Have a video stream input or video file input

7. Execute model inspection per frame to determine if object is detected

8. Record stats into flat file

This will permit me to learn new objects and detect them through this process

Deliverables:

* Full source code

* Instructions to execute

* Code comments throughout

* Permit me to deploy the solution following your instructions and the source files without using your environment

Skills: Linux, Machine Learning, Python, Software Architecture, Tensorflow

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About the Employer:
( 32 reviews ) London, United Kingdom

Project ID: #18941088

Awarded to:

MeihaoShiguang

Hello! I read your proposal, which is written in detail. Image processing is the successful application of deep learning. I have many experiences in image classifier, object detection, face recognition, etc. Pyth More

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5.8

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6.7
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5.9
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