Error Frame did not arrived

'''import pyrealsense2 as rs
import cv2
import numpy as np
import os

# Folder path containing the bag files
folder_path = r"\\172.22.209.201\Data\I-DigitAL-Research\PROJECTS\DATA\LIVESTOCK\CATTLE\BEEF\EMBRAPA\EMBRAPA_2024\Depth_Camera_19_01\FACE_VIEW"
ouput=r"\\172.22.209.201\Data\I-DigitAL-Research\PROJECTS\DATA\LIVESTOCK\CATTLE\BEEF\EMBRAPA\EMBRAPA_2024\Depth_Camera_19_01\FACE_VIEW"
# Get a list of all .bag files in the folder
bag_files = [file for file in os.listdir(folder_path) if file.endswith(".bag")]

# Main loop to process bag files
for bag_file in bag_files:
# Configure pipeline settings
pipeline = rs.pipeline()
config = rs.config()
config.enable_device_from_file(os.path.join(folder_path, bag_file))

# Start the pipeline
pipeline.start(config)

try:
frame_count = 0 # Variable to track the frame count
start_frame = 1 # Frame number from which you want to start exporting

# Skip frames until the desired start frame is reached
while frame_count < start_frame:
frames = pipeline.wait_for_frames()
frame_count += 1

while True:
# Wait for frames
frames = pipeline.wait_for_frames()

# Get color and depth frames
color_frame = frames.get_color_frame()
depth_frame = frames.get_depth_frame()

if not color_frame or not depth_frame:
continue

try:
# Convert frames to numpy arrays
color_image = np.asanyarray(color_frame.get_data())
depth_image = np.asanyarray(depth_frame.get_data())

# Convert color image to BGR color space (or the desired color space)
color_image_bgr = cv2.cvtColor(color_image, cv2.COLOR_RGB2BGR)

# Save color image as JPG
color_filename = os.path.join(ouput, f"{bag_file}_20230626_103234_color_image_{frame_count}.jpg")
cv2.imwrite(color_filename, color_image_bgr)

# Save depth image as TXT
depth_filename = os.path.join(ouput, f"{bag_file}_20230626_103234_depth_image_{frame_count}.txt")
np.savetxt(depth_filename, depth_image)

print(f"Frame {frame_count} in {bag_file}: Color image and depth image saved.")
frame_count += 1

except Exception as e:
# Handle the exception (e.g., log the error, skip the frame)
print(f"Error processing frame {frame_count} in {bag_file}: {e}")

except KeyboardInterrupt:
pass

finally:
# Stop the pipeline
pipeline.stop()
'''
import pyrealsense2 as rs
import cv2
import numpy as np
import os

# Folder path containing the bag files
folder_path = "D:/11-13-2023/DEPTH/INTEL_REALSENSE/ORIGINAL_DATA/FRONT_VIEW"
ouput="D:/11-13-2023/DEPTH/INTEL_REALSENSE/ORIGINAL_DATA/EXTRACTED/FRONT_VIEW"
# Get a list of all .bag files in the folder
bag_files = [file for file in os.listdir(folder_path) if file.endswith("20231113_072901.bag")]

# Main loop to process bag files
for bag_file in bag_files:
# Configure pipeline settings
pipeline = rs.pipeline()
config = rs.config()
config.enable_device_from_file(os.path.join(folder_path, bag_file))


# Create align object
align_to = rs.stream.color
align = rs.align(align_to)


# Start the pipeline
pipeline.start(config)

try:
frame_count = 0 # Variable to track the frame count
start_frame = 1 # Frame number from which you want to start exporting

# Skip frames until the desired start frame is reached
while frame_count < start_frame:
frames = pipeline.wait_for_frames()
frame_count += 1

while True:
# Wait for frames
frames = pipeline.wait_for_frames()

# Align frames
aligned_frames = align.process(frames)
color_frame = aligned_frames.get_color_frame()
depth_frame = aligned_frames.get_depth_frame()
ir_frame = aligned_frames.get_infrared_frame()

if not color_frame or not depth_frame or not ir_frame:
continue

try:
# Convert frames to numpy arrays
color_image = np.asanyarray(color_frame.get_data())
depth_image = np.asanyarray(depth_frame.get_data())
ir_image = np.asanyarray(ir_frame.get_data())

# Convert color image to BGR color space (or the desired color space)
color_image_bgr = cv2.cvtColor(color_image, cv2.COLOR_RGB2BGR)

# Save color image as JPG
color_filename = os.path.join(ouput, f"{bag_file}_20230626_103234_color_image_{frame_count}.png")
cv2.imwrite(color_filename, color_image_bgr)

# Save depth image as TXT
depth_filename = os.path.join(ouput, f"{bag_file}_20230626_103234_depth_image_{frame_count}.txt")
np.savetxt(depth_filename, depth_image)

# Save IR image as JPG
ir_filename = os.path.join(ouput, f"{bag_file}_20230626_103234_ir_image_{frame_count}.png")
cv2.imwrite(ir_filename, ir_image)

print(f"Frame {frame_count} in {bag_file}: Color image, depth image, and IR image saved.")
frame_count += 1

except Exception as e:
# Handle the exception (e.g., log the error, skip the frame)
print(f"Error processing frame {frame_count} in {bag_file}: {e}")

except KeyboardInterrupt:
pass

finally:
# Stop the pipeline
pipeline.stop()