Add files via upload

Author: in-imitable

mypy.py

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+# import simplejson as json
+# import os
+
+import requests
+
+r = requests.get('https://google.com')
+print("Status", r.status_code)
+
+# if os.path.isfile("./ages.json") and os.stat("./ages.json").st_size != 0:
+#     old_file = open("./ages.json", "r+")
+#     data = json.loads(old_file.read())
+#     print("Current age is", data["age"], "--- adding a year.")
+#     data["age"] = data["age"] + 1
+#     print("New age is", data["age"])
+
+# else:
+#     old_file = open("./ages.json", "w+")
+#     data = {"name": "Nick", "age": 27}
+#     print("No file found, setting default age to", data["age"])
+
+# old_file.seek(0)
+# old_file.write(json.dumps(data))
+
+# newfile = open("newfile.txt", "wr+")
+
+# string = "This is a new file created by python"
+
+# newfile.write(string)
+# newfile.read(string)

opencv.py

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+# OpenCV Python program to detect cars in video frame
+# import libraries of python OpenCV
+import cv2
+
+# capture frames from a video
+cap = cv2.VideoCapture('video.avi')
+
+# Trained XML classifiers describes some features of some object we want to detect
+car_cascade = cv2.CascadeClassifier('cars.xml')
+
+# loop runs if capturing has been initialized.
+while True:
+    # reads frames from a video
+    ret, frames = cap.read()
+
+    # convert to gray scale of each frames
+    gray = cv2.cvtColor(frames, cv2.COLOR_BGR2GRAY)
+
+    # Detects cars of different sizes in the input image
+    cars = car_cascade.detectMultiScale(gray, 1.1, 1)
+
+    # To draw a rectangle in each cars
+    for (x, y, w, h) in cars:
+        cv2.rectangle(frames, (x, y), (x + w, y + h), (0, 0, 255), 2)
+
+# Display frames in a window
+cv2.imshow('video2', frames)
+
+    # Wait for Esc key to stop
+    if cv2.waitKey(33) == 27:
+        break
+
+# De-allocate any associated memory usage
+cv2.destroyAllWindows()