Open migparra73 opened 1 year ago
Hi! So this is what I've done for this task. Could you please check it out? Thanks! :)
Ps. It didn't let me upload .py files :(
import cv2
import gym
import numpy as np
class CustomCameraEnv(gym.Env):
def __init__(self):
super(CustomCameraEnv, self).__init__()
self.cap = cv2.VideoCapture(0)
self.action_space = gym.spaces.Discrete(2) # Define the action space here
self.observation_space = gym.spaces.Box(low=0, high=255, shape=(480, 640, 3), dtype=np.uint8)
def reset(self):
# Reset the camera and return the initial observation
return self._get_observation()
def step(self, action):
# Update the observation, reward, done, and info based on the action
# Example:
observation = self._get_observation()
reward = 0.0
done = False
info = {}
if action == 1:
reward += 1.0 # Example reward increment for a specific action
return observation, reward, done, info
def render(self, mode='human'):
# Display the current frame
ret, frame = self.cap.read()
if mode == 'human':
cv2.imshow('Video Stream | Servo Hand Project', frame)
cv2.waitKey(1)
def close(self):
# Release resources
self.cap.release()
cv2.destroyAllWindows()
def _get_observation(self):
ret, frame = self.cap.read()
return frame
env = CustomCameraEnv()
obs = env.reset()
for _ in range(1000): # Replace 1000 with the desired number of steps
env.render()
action = env.action_space.sample() # Replace with the action selection logic
obs, reward, done, _ = env.step(action)
if done:
break
key = cv2.waitKey(1)
if key == ord('q'):
break
env.close()
Create a video stream in Python using OpenCV (cv2) Make it such that it can be used for a custom Gym environment (TBD what this is...)