Upload README.txt

README.txt

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+File List for IFSC7370 Data Science Course, Spring, 2024
+
+(1) BiaoFu-IFSC7370-DS-SP24.pdf
+    This is the report file for the assignment.
+    I do the analysis by developing some app using Hugging Face.
+    The URL of the Hugging Face app is listed in the report.
+
+(2) 3MT-BiaoFu.ppt
+    This is the 3 minute presentation, the audio is inserted to the ppt file.
+
+(3) The python codes are printed to the report, the original codes are in my spaces.
+    You can review the full code under each space, and the report includes the URL for each space.
+
+(4) Folder: pythoncode in the raw date and results.zip file.
+    This is the folder to store some of the codes downloaded from my Hugging Face app.
+	app-facefeature-w1-full working.py #this file can output excel with image, more details in report.
+	app-facefeaturefast-w1-full working.py #this file can run faster than the file above, no excel output, more details in report.
+        app-facebasic-w1-full working.py #this file can display image and emotion score side by side, more details in report.
+    
+(5) raw date and results.zip
+    This is the raw data and app output for doing the report and data analysis.
+    For example:
+
+    (a) emotion_scores (12)-for project.xlsx
+        This is the excel file output from the app for doing analysis for the report.
+        The app embed the image to cell for easy datamining, etc.
+        The excel table is scalable according to the file quantity, though the file has 10 samples as far.
+        For example, the table can have 100 images if we have 100 images.
+
+    (b) For the emotion class, I make two folders initially to store the raw data and result.
+	The FER2013 dataset has more than 30,000 images, I sampled 100 images for each class for the initial analysis.
+	The FER2013 dataset was downloaded from the URL: https://www.kaggle.com/datasets/msambare/fer2013?resource=download.
+        The Hugging Face I developed can do full dataset, however, I need to use the pay version for using the GPU.
+        For example, once I can get the sponsors, I can re-run the data in a larger or full scale.
+        For example, the folder name starts with an is for "angry" class.
+	        an: angry
+        	ds: disgust
+        	fe: fear
+        	hp: happy
+        	ne: neutral
+        	sd: sad
+        	sp: surprise
+	For the initial two folders belonged to angry, 
+                antd: this folder is for store the train data and test data, 
+                      where the subfolder ant100 for test data and antr100 for train data,
+                ant-re: this folder is for store the *.CSV file, chart file (pie, bar, heatmap) output from the test data,
+                        while the subfolder tra is for *.CSV file, chart file (pie, bar, heatmap) output from the train data.
+                the other class raw data and result are stored in the related folder following the similar naming style above.
+
+    (c) Folder name: sample image
+        This is the folder for storing the sample image for the report.