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(7) Detailed breakdown of tasks so as to achieve completion by 21 May (Presentation Day)

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(7) Detailed breakdown of tasks so as to achieve completion by 21 May (Presentation Day)

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30 Apr
Finish extracting frames of person and training classifier
7 May
Search all video files for person and identify relevant portions of video
Starting working on application
14 May

Finish application

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(6) Estimate of completion percentage for Machine Learner and Application

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(6) Estimate of completion percentage for Machine Learner and Application

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Machine Learner - 40%
Application - 1%

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What have you done so far?

We've allowed users to run Python files and see the objects identified in the video.

What have you achieved?

We have one file to generate frames, and another to detect objects and produce results for each frame.

What are the next steps?

We have to allow users to choose the object to track, as well as allow users to submit multiple video clips, as well as make a proper

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Who evens reads channel descriptions...oh wait... Since you have decided to read my channel description, I now command you to follow my Twitter or you will b...

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Testing
Project Ideas
- Binner title generator
- How many likes will this video get?
- Plagiarism Detector
- Rubik's Cube Solver
- Robot Soccer

Please read:

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Tasks
- Supervised
Labels and example inputs are given, creates criteria
- Unsupervised
Inputs are given, find pattern by itself
- Reinforcement
Learning through experimentation, not input explicitly given to learn from, such as games against opponents

Outputs
- Single Value
- Function

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What have you done so far?

We've found a sample video and worked on identifying objects in frames.

What have you achieved?

We've extracted individual frames and used Microsoft Cognitive Services to identify objects present. We have replaced Microsoft Cognitive Serivces with image-ai as they have an API limit and require an internet connection.

What are the next steps?

The next steps are to capture multiple pictures of the target by possibly using meanshift. Then, these images will be used to train a learner to identify if a person matches the target or not.

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I didn't prepare
It was very muggable