Python path not found

Hello everyone, I received a Python code that I had asked a friend for. It allows for slight modifications to a video in an INPUT folder and outputs the changed version in an OUTPUT folder. It works on his PC, but I'm having a problem with the file paths on my PC.

Here is the Python code =>

import cv2 import numpy as np import random from moviepy.editor import VideoFileClip def get_exposure_preset_parameters(preset): exposure_presets = { "Subtle": (0.9, 1.1), "Light": (0.8, 1.2), "Moderate": (0.7, 1.3), "Strong": (0.5, 1.5), } return exposure_presets.get(preset, (0.8, 1.2)) def get_brightness_preset_parameters(preset): brightness_presets = { "Subtle": (-5, 5), "Light": (-10, 10), "Moderate": (-15, 15), "Strong": (-30, 30), } return brightness_presets.get(preset, (-10, 10)) def get_contrast_preset_parameters(preset): contrast_presets = { "Subtle": (0.9, 1.1), "Light": (0.8, 1.2), "Moderate": (0.7, 1.3), "Strong": (0.5, 1.5), } return contrast_presets.get(preset, (0.8, 1.2)) def get_saturation_preset_parameters(preset): saturation_presets = { "Subtle": (0.8, 1.2), "Light": (0.7, 1.3), "Moderate": (0.5, 1.5), "Strong": (0.4, 1.6), } return saturation_presets.get(preset, (0.7, 1.3)) def print_video_parameters( video_index, exposure_factor, brightness_factor, contrast_factor, saturation_factor, mirror_effect, noise_level, rotation_angle ): print( f"Video {video_index + 1} generated successfully, " "metadata removed, anti-shadow protection activated." ) print(f"Parameters used:") print(f"Exposure: {exposure_factor}") print(f"Brightness: {brightness_factor}") print(f"Contrast: {contrast_factor}") print(f"Saturation: {saturation_factor}") print(f"Mirror effect: {'Activated' if mirror_effect else 'Deactivated'}") print(f"Noise level: {noise_level}") print(f"Rotation angle: {rotation_angle}\n") def add_noise(frame, level): h, w, c = frame.shape noise = np.random.normal(0, level, (h, w, c)) noisy_frame = np.clip(frame + noise, 0, 255) return noisy_frame.astype(np.uint8) def rotate_video(frame, angle): h, w, _ = frame.shape center = (w // 2, h // 2) rotation_matrix = cv2.getRotationMatrix2D(center, angle, 1.0) rotated_frame = cv2.warpAffine(frame, rotation_matrix, (w, h)) return rotated_frame def adjust_video_parameters_with_presets( input_video_path, output_video_path, exposure_preset, brightness_preset, contrast_preset, saturation_preset, mirror_effect=False, noise_level=None, rotation_angle=0 ): exposure_range = get_exposure_preset_parameters(exposure_preset) brightness_range = get_brightness_preset_parameters(brightness_preset) contrast_range = get_contrast_preset_parameters(contrast_preset) saturation_range = get_saturation_preset_parameters(saturation_preset) NUMBER_OF_VIDEOS = 5 cap = cv2.VideoCapture(input_video_path) width = int(cap.get(3)) height = int(cap.get(4)) fps = cap.get(5) fourcc = cv2.VideoWriter_fourcc(*'XVID') print(f"Input video path: {input_video_path}") print(f"Output path: {output_video_path}") print(f"Video width: {width}") print(f"Video height: {height}") print(f"Video FPS: {fps}") print(f"Mirror effect: {'Activated' if mirror_effect else 'Deactivated'}") print(f"Noise level: {noise_level}\n") for i in range(NUMBER_OF_VIDEOS): exposure_factor = random.uniform(*exposure_range) brightness_factor = random.uniform(*brightness_range) contrast_factor = random.uniform(*contrast_range) saturation_factor = random.uniform(*saturation_range) out = cv2.VideoWriter( f"{output_video_path}_{i}.mp4", fourcc, fps, (width, height) ) while True: ret, frame = cap.read() if not ret: break frame = cv2.convertScaleAbs( frame, alpha=contrast_factor, beta=brightness_factor ) hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV) hsv[:, :, 1] = hsv[:, :, 1] * saturation_factor frame = cv2.cvtColor(hsv, cv2.COLOR_HSV2BGR) if mirror_effect: frame = cv2.flip(frame, 1) if noise_level is not None: frame = add_noise(frame, noise_level) frame = rotate_video(frame, rotation_angle) out.write(frame) out.release() print_video_parameters( i, exposure_factor, brightness_factor, contrast_factor, saturation_factor, mirror_effect, noise_level, rotation_angle ) cap.set(cv2.CAP_PROP_POS_FRAMES, 0) cap.release() cv2.destroyAllWindows() def remove_metadata(input_video_path, output_video_path): video_clip = VideoFileClip(input_video_path) video_clip.write_videofile( output_video_path, codec="libx264", audio_codec="aac", remove_temp=True, logger=None ) # Example usage with mirror effects, # noise and rotation manually chosen input_video_path = 'c:/Users/Eleve/Desktop/BOT_Tiktok/Tiktok_INPUT/Entry_file.mp4' output_video_path = 'c:/Users/Eleve/Desktop/BOT_Tiktok/Tiktok_OUTPUT/Output_file.mp4' exposure_preset = "Subtle" brightness_preset = "Light" contrast_preset = "Moderate" saturation_preset = "Light" rotation_angle = 0 # Rotation angle in degrees adjust_video_parameters_with_presets( input_video_path, output_video_path, exposure_preset, brightness_preset, contrast_preset, saturation_preset, mirror_effect=False, noise_level=None, rotation_angle=rotation_angle )

Thanks in advance

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