diff --git a/subjects/ai/emotions-detector/README.md b/subjects/ai/emotions-detector/README.md index 74cdd4038..751ad2d47 100644 --- a/subjects/ai/emotions-detector/README.md +++ b/subjects/ai/emotions-detector/README.md @@ -62,48 +62,40 @@ For that step, I suggest again to use **OpenCV** as much as possible. This link ``` project -│ README.md -│ environment.yml -│ -└───data -│ │ train.csv -│ │ test.csv -│ │ xxx.csv -│ -└───results -│ │ -| |───model (free format) -│ │ │ my_own_model.pkl -│ │ │ my_own_model_architecture.txt -│ │ │ tensorboard.png -│ │ │ learning_curves.png -│ │ │ pre_trained_model.pkl (optional) -│ │ │ pre_trained_model_architecture.txt (optional) -│ │ -| |───hack_cnn (free format) -│ │ │ hacked_image.png (optional) -│ │ │ input_image.png -│ │ -| |───preprocessing_test -| | | input_video.mp4 (free format) -│ │ │ image0.png (free format) -│ │ │ image1.png -│ │ │ imagen.png -│ │ │ image20.png -| -|───scripts -│ │ train.py -│ │ predict.py -│ │ preprocess.py -│ │ predict_live_stream.py -│ │ hack_the_cnn.py +├── data +│   ├── test.csv +│   ├── train.csv +│   └── xxx.csv +├── environment.yml +├── README.md +├── results +│   ├── hack_cnn +│   │   ├── hacked_image.png +│   │   └── input_image.png +│   ├── model +│   │   ├── learning_curves.png +│   │   ├── my_own_model_architecture.txt +│   │   ├── my_own_model.pkl +│   │   ├── pre_trained_model_architecture.txt +│   │   └── pre_trained_model.pkl +│   └── preprocessing_test +│   ├── image0.png +│   ├── image1.png +│   ├── image_n.png +│   └── input_video.mp4 +└── scripts + ├── hack_the_cnn.py + ├── predict_live_stream.py + ├── predict.py + ├── preprocess.py + └── train.py ``` - Run **predict.py** expected output: ```prompt -python predict.py +python ./scripts/predict.py Accuracy on test set: 72% @@ -112,7 +104,7 @@ Accuracy on test set: 72% - Run **predict_live_stream.py** expected output: ```prompt -python predict_live_stream.py +python ./scripts/predict_live_stream.py Reading video stream ... diff --git a/subjects/ai/emotions-detector/audit/README.md b/subjects/ai/emotions-detector/audit/README.md index 316ecfd29..e65cbf913 100644 --- a/subjects/ai/emotions-detector/audit/README.md +++ b/subjects/ai/emotions-detector/audit/README.md @@ -2,47 +2,7 @@ ##### Preliminary -``` -project -│ README.md -│ environment.yml -│ -└───data -│ │ train.csv -│ │ test.csv -│ │ xxx.csv -│ -└───results -│ │ -| |───model (free format) -│ │ │ my_own_model.pkl -│ │ │ my_own_model_architecture.txt -│ │ │ tensorboard.png -│ │ │ learning_curves.png -│ │ │ pre_trained_model.pkl (optional) -│ │ │ pre_trained_model_architecture.txt (optional) -│ │ -| |───hack_cnn (free format) -│ │ │ hacked_image.png (optional) -│ │ │ input_image.png -│ │ -| |───preprocessing_test -| | | input_video.mp4 (free format) -│ │ │ image0.png (free format) -│ │ │ image1.png -│ │ │ imagen.png -│ │ │ image20.png -| -|───scripts -│ │ train.py -│ │ predict.py -│ │ preprocess.py -│ │ predict_live_stream.py -│ │ hack_the_cnn.py - -``` - -###### Does the structure of the project look as above? +###### Does the structure of the project is equivalent to the one described in the subject `Delivery` section? ###### Does the readme file summarize how to run the code and explain the global approach? @@ -64,10 +24,10 @@ project ###### Does the text document explain why the architecture was chosen and what were the previous iterations? -###### Does the following command `python predict.py ` run without any error and returns an accuracy greater than 70%? +###### Does the following command `python ./scripts/predict.py` run without any error and returns an accuracy greater than 70%? ```prompt - python predict.py + python ./scripts/predict.py Accuracy on test set: 72% @@ -87,10 +47,10 @@ project ###### If there's an issue related to the webcam, does the code takes as input a video recorded video stream? -###### Does the following command `predict_live_stream.py` run without any error and return the following? +###### Does the following command `python ./scripts/predict_live_stream.py` run without any error and return the following? ```prompt - python predict_live_stream.py + python ./scripts/predict_live_stream.py Reading video stream ...