First-Impression/Video_to_Image.py

"""
Extract all the 6 training zipped files and 2 validation zipped files into data folder and then run this script
"""
import os
import zipfile

import numpy as np

import cv2

# Runnin a loop throught all the zipped training file to extract all video and then extract 100 frames from each.

### Training data ###
for i in range(1, 76):
    if i < 10:
        zipfilename = "training80_0" + str(i) + ".zip"
    else:
        zipfilename = "training80_" + str(i) + ".zip"
    ## Accessing the zipfile i
    archive = zipfile.ZipFile("data/" + zipfilename, "r")
    zipfilename = zipfilename.split(".zip")[0]

    ##Extracting all videos in it and saving it all to the new folder with same name as zipped one
    archive.extractall("unzippedData/" + zipfilename)

    ## Running a loop over all the videos in the zipped file and extracting 100 frames from each
    for file_name in archive.namelist():
        cap = cv2.VideoCapture("unzippedData/" + zipfilename + "/" + file_name)

        file_name = (file_name.split(".mp4"))[0]
        ## Creating folder to save all the 100 frames from the video
        try:
            if not os.path.exists("ImageData/trainingData/" + file_name):
                os.makedirs("ImageData/trainingData/" + file_name)
        except OSError:
            print("Error: Creating directory of data")

        ## Setting the frame limit to 100
        cap.set(cv2.CAP_PROP_FRAME_COUNT, 101)
        length = 101
        count = 0
        ## Running a loop to each frame and saving it in the created folder
        while cap.isOpened():
            count += 1
            if length == count:
                break
            ret, frame = cap.read()
            if frame is None:
                continue

            ## Resizing it to 256*256 to save the disk space and fit into the model
            frame = cv2.resize(frame, (256, 256), interpolation=cv2.INTER_CUBIC)
            # Saves image of the current frame in jpg file
            name = (
                "ImageData/trainingData/"
                + str(file_name)
                + "/frame"
                + str(count)
                + ".jpg"
            )
            cv2.imwrite(name, frame)

            if cv2.waitKey(1) & 0xFF == ord("q"):
                break

        ## Print the file which is done
        print(zipfilename, ":", file_name)
### Training data ###

### Validation data ###
for i in range(1, 26):
    if i < 10:
        zipfilename = "validation80_0" + str(i) + ".zip"
    else:
        zipfilename = "validation80_" + str(i) + ".zip"
    ## Accessing the zipfile i
    archive = zipfile.ZipFile("data/" + zipfilename, "r")
    zipfilename = zipfilename.split(".zip")[0]

    ##Extracting all videos in it and saving it all to the new folder with same name as zipped one
    archive.extractall("unzippedData/" + zipfilename)

    ## Running a loop over all the videos in the zipped file and extracting 100 frames from each
    for file_name in archive.namelist():
        cap = cv2.VideoCapture("unzippedData/" + zipfilename + "/" + file_name)

        file_name = (file_name.split(".mp4"))[0]
        ## Creating folder to save all the 100 frames from the video
        try:
            if not os.path.exists("ImageData/validationData/" + file_name):
                os.makedirs("ImageData/validationData/" + file_name)
        except OSError:
            print("Error: Creating directory of data")

        ## Setting the frame limit to 100
        cap.set(cv2.CAP_PROP_FRAME_COUNT, 101)
        length = 101
        count = 0
        ## Running a loop to each frame and saving it in the created folder
        while cap.isOpened():
            count += 1
            if length == count:
                break
            ret, frame = cap.read()
            if frame is None:
                continue

            ## Resizing it to 256*256 to save the disk space and fit into the model
            frame = cv2.resize(frame, (256, 256), interpolation=cv2.INTER_CUBIC)
            # Saves image of the current frame in jpg file
            name = (
                "ImageData/validationData/"
                + str(file_name)
                + "/frame"
                + str(count)
                + ".jpg"
            )
            cv2.imwrite(name, frame)

            if cv2.waitKey(1) & 0xFF == ord("q"):
                break

        ## Print the file which is done
        print(zipfilename, ":", file_name)

### Validation data ###