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Sal Martino |
Master P |
Writing Credits (in alphabetical order)
Banio Koroma Jr. | .. | (screenplay) |
Britt O. Wynn | .. | (screenplay) |
Cast (in credits order)
Michael Blackson | .. | Coffee | |
Master P | .. | Tea | |
Katt Williams | .. | Mr. Henderson | |
Anthony Johnson | .. | Tick Tack (as AJ Johnson) | |
Rest of cast listed alphabetically: | |||
Jessica Barbery | .. | Woman | |
Napolean Brown | .. | Car Wash Employee | |
Jenny Cortez | .. | Rebecca | |
Charmain L. Crook | .. | Lady at ATM | |
Jamal Doman | .. | Joey | |
Brent Fidler | .. | Vietnam veteran | |
Ryan Gill | .. | Man #1 in Van | |
Marilyn Harris | .. | Ghetto Girl's Grandma (as Marilyn A. Harris) | |
Leslie Jones | .. | Lay La (as Annette Jones) | |
Chris Kennedy | .. | Crack Head | |
Banio Koroma Jr. | .. | Cal | |
Chris L. Lane | .. | Twinkie - Gay guy in van | |
Kevin Leung | .. | Chinese Man | |
Brandi Magee | .. | Kim (as Brandy McGee) | |
Ce Ce McCowen | .. | Dino (as Big Ce-Ce) | |
Jameelah McMillan | .. | Ghetto Girl | |
Erik Nicolaisen | .. | Fake Baller | |
Jamal Rashid | .. | Al - the football player | |
Thea Vidale | .. | Coffee's Mama |
Produced by
D'Juan Baham | .. | line producer |
Bossman | .. | executive producer |
Master P | .. | producer |
Cinematography by
Rashaad Lewis | .. | director of cinematography |
Film Editing by
Dino Allen |
Sal Martino |
Master P Repo Man
Makeup Department
Sarah Benjamin-Hall | .. | makeup department head (as Sarah Benjamin) |
Jenny Cortez | .. | assistant makeup artist |
Second Unit Director or Assistant Director
Dino Allen | .. | first assistant director |
Camera and Electrical Department
Robert Oh. Sanchez | .. | camera operator |
Real-time face detection and emotion/gender classification using fer2013/IMDB datasets with a keras CNN model and openCV.
- IMDB gender classification test accuracy: 96%.
- fer2013 emotion classification test accuracy: 66%.
For more information please consult the publication
![Free Free](/uploads/1/3/3/9/133940486/369062429.png)
Real-time demo:
B-IT-BOTS robotics team :)
Instructions
Run real-time emotion demo:
python3 video_emotion_color_demo.py
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Run real-time guided back-prop demo:
python3 image_gradcam_demo.py
![Movie Movie](/uploads/1/3/3/9/133940486/540912888.png)
Make inference on single images:
python3 image_emotion_gender_demo.py <image_path>
python3 image_emotion_gender_demo.py ./images/test_image.jpg
Running with Docker
With a few steps one can get its own face classification and detection running. Follow the commands below:
docker pull ekholabs/face-classifier
docker run -d -p 8084:8084 --name=face-classifier ekholabs/face-classifier
curl -v -F image=@[path_to_image] http://localhost:8084/classifyImage > image.png
To train previous/new models for emotion classification:
- Download the fer2013.tar.gz file from here
- Move the downloaded file to the datasets directory inside this repository.
- Untar the file:
tar -xzf fer2013.tar Waves for os x 10.11.
- Run the train_emotion_classification.py file
python3 train_emotion_classifier.py
To train previous/new models for gender classification:
- Download the imdb_crop.tar file from here (It's the 7GB button with the tittle Download faces only). Nero 9 mac free download.
- Move the downloaded file to the datasets directory inside this repository.
- Untar the file:
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tar -xfv imdb_crop.tar
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- Run the train_gender_classification.py file
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python3 train_gender_classifier.py Mac os for amd processor download.