Number plate detection.py

dataset = dict()
dataset["image_name"] = list()
dataset["image_width"] = list()
dataset["image_height"] = list()
dataset["top_x"] = list()
dataset["top_y"] = list()
dataset["bottom_x"] = list()
dataset["bottom_y"] = list()

counter = 0
for index, row in df.iterrows():
    img = urllib.request.urlopen(row["content"])
    img = Image.open(img)
    img = img.convert('RGB')
    img.save("Indian Number Plates/licensed_car{}.jpeg".format(counter), "JPEG")
    
    dataset["image_name"].append("licensed_car{}".format(counter))
    
    data = row["annotation"]
    
    dataset["image_width"].append(data[0]["imageWidth"])
    dataset["image_height"].append(data[0]["imageHeight"])
    dataset["top_x"].append(data[0]["points"][0]["x"])
    dataset["top_y"].append(data[0]["points"][0]["y"])
    dataset["bottom_x"].append(data[0]["points"][1]["x"])
    dataset["bottom_y"].append(data[0]["points"][1]["y"])
    
    counter += 1
print("Downloaded {} car images.".format(counter))