first commit

main
vitrinekast 6 months ago
commit 367f15e37c

6
.gitignore vendored

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bin
lib
lib64
media
pyvenv.cfg

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# importing libraries
import cv2
import numpy as np
import os
import random
import simpleaudio as sa
import threading
import time
MEDIA_FOLDER = "media"
WINDOW_NAME = "Image Viewer"
WINDOW_WIDTH = 800
WINDOW_HEIGHT = 480
mediaFolder = os.listdir(MEDIA_FOLDER)
current_file = False
def clear_frame():
# Create a black frame
black_frame = np.zeros((WINDOW_HEIGHT, WINDOW_WIDTH, 3), dtype=np.uint8)
cv2.imshow(WINDOW_NAME, black_frame)
cv2.waitKey(1) # Add a small delay to ensure the frame is displayed
def resize_and_center_frame(frame):
# Get original frame dimensions
height, width = frame.shape[:2]
# Calculate aspect ratio
aspect_ratio = width / height
# Determine resizing dimensions while maintaining aspect ratio
if width > height:
new_width = WINDOW_WIDTH
new_height = int(new_width / aspect_ratio)
else:
new_height = WINDOW_HEIGHT
new_width = int(new_height * aspect_ratio)
# Resize the frame
resized_frame = cv2.resize(frame, (new_width, new_height))
# Calculate offset to center the resized frame in the window
x_offset = max(0, (WINDOW_WIDTH - new_width) // 2)
y_offset = max(0, (WINDOW_HEIGHT - new_height) // 2)
# Create a black background of the window size
window_background = np.zeros((WINDOW_HEIGHT, WINDOW_WIDTH, 3), dtype=np.uint8)
# Overlay the resized frame onto the background at the calculated offset
window_background[
y_offset : y_offset + new_height, x_offset : x_offset + new_width
] = resized_frame
return window_background
# Show an image on the canvas
def showImage(file):
# Read the image
current_image = cv2.imread(MEDIA_FOLDER + "/" + file)
if current_image is None:
print(f"Error loading image: {image_path}")
return
a = cv2.cvtColor(current_image, cv2.COLOR_BGR2GRAY)
resized_frame = resize_and_center_frame(current_image)
cv2.imshow(WINDOW_NAME, resized_frame)
k = cv2.waitKey(0)
if k < 58 and k > 48:
print("number is pressed")
print(k - 48)
load_media(k - 48)
elif k == ord("q"):
print("destroy all windows")
cv2.destroyAllWindows()
else:
print("key pressed: " + str(k))
def play_audio(file):
clear_frame()
sound = sa.WaveObject.from_wave_file("media/" + file)
play_obj = sound.play()
# TODO: check for sensor data change
while play_obj.is_playing():
# Add a small delay to prevent high CPU usage
time.sleep(0.1)
load_media()
def get_random_file(previous=None):
random.shuffle(mediaFolder)
file = mediaFolder[0]
if file == previous:
return get_random_file(previous)
return file
# create a function with an optional parameter
def load_media(region=None, override=None):
global current_file
if region:
print("i should now load a media from region ")
print(region)
else:
print("region is not defined, just do something!")
if(override):
file = override
else:
file = get_random_file(current_file)
current_file = file
# Check if the file is an image or a video
if file.endswith(".jpg") or file.endswith(".png") or file.endswith(".jpeg"):
# Read and resize the image
print("ive loaded an image: " + file)
showImage(file)
elif file.endswith(".mov") or file.endswith(".mp4") or file.endswith(".avi"):
# Create a VideoCapture object and read from input file
cap = cv2.VideoCapture("media/" + file)
print("ive loaded a video" + file)
# show the input video file
while cap.isOpened():
ret, frame = cap.read()
# resized = cv2.resize(frame, (800, 480))
resized_frame = resize_and_center_frame(frame)
# if q is pressed, the app is closed
if ret == True:
cv2.imshow(WINDOW_NAME, resized_frame)
if cv2.waitKey(3) & 0xFF == ord("1"):
print("key 2 pressed")
load_media()
break
elif cv2.waitKey(3) & 0xFF == ord("q"):
print("destroy all windows")
cv2.destroyAllWindows()
break
else:
print("ois the video finished?")
load_media()
break
elif file.endswith(".wav") or file.endswith(".mp3"):
print("ive loaded an audio file: " + file)
play_audio(file)
else:
print("Unsupported file format: " + file)
load_media(region)
print("start script ")
load_media()
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