paveldat / objects_detection_on_image

Finding objects on the image

Finding objects on the image

In this project, I'll show you how to find objects in an image, select them, and count them. This program can work with recaptcha

Features

• Works with image
• Distinguishes 80 objects
• The user can specify which object to look for on the image

How to install

1. Clone this repository on your computer https://github.com/paveldat/objects_on_image.git
2. Install all the requirements run libraries.bat or pip install -r requirements.txt
3. Run the program python main.py

Help

When you start the program, you will be prompted to enter the path to the image and the name of the object that you need to find and calculate it. If you need to find several objects in the image, write them separated by commas. Names of possible objects:

'person', 'bicycle', 'car', 'motorbike', 'aeroplane', 'bus', 'train', 'truck', 'boat', 'traffic light',
'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow',
'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee',
'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard',
'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple',
'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'sofa',
'pottedplant', 'bed', 'diningtable', 'toilet', 'tvmonitor', 'laptop', 'mouse', 'remote', 'keyboard',
'cell phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors',
'teddy bear', 'hair drier', 'toothbrush'

Result

Path to image(recapcha): Result\input\bus1.png
What we are looking for: bus

Path to image(recapcha): Result\input\truck.jpg
What we are looking for: truck

Path to image(recapcha): Result\input\city.png
What we are looking for: car, person, traffic light