Hi JaimilDalwadi
Assuming you have .h265 or .mjpeg files in some folder, you can use ffmpeg library to decode and save the file as the desired file type. (docs)
Thanks,
Jaka
Hi JaimilDalwadi
Assuming you have .h265 or .mjpeg files in some folder, you can use ffmpeg library to decode and save the file as the desired file type. (docs)
Thanks,
Jaka
jakaskerl
Is there no way to do it in realtime as the frames are getting written?
` with open(rawFile, 'wb') as videoFile:
print("Press Ctrl+C to stop encoding...")
try:
while True:
h265Packet = q.get() # Blocking call, will wait until a new data has arrived
h265Packet.getData().tofile(videoFile) # Appends the packet data to the opened file
`
jakaskerl
Here's an MRE of just saving images directly:
import cv2
import numpy as np
import depthai as dai
import time
#TODO: Figure out how to ensure the fps for the OAK camera has been changed to 60
def save_frames(output_folder):
pipeline = dai.Pipeline()
oakCam = pipeline.create(dai.node.ColorCamera)
print(str(oakCam.getFps()))
oakCam.setFps(60)
manip = pipeline.create(dai.node.ImageManip)
controlIn = pipeline.create(dai.node.XLinkIn)
manipOut = pipeline.create(dai.node.XLinkOut)
controlIn.setStreamName('control')
manipOut.setStreamName("preview")
topLeft = dai.Point2f(0.2, 0.2)
bottomRight = dai.Point2f(0.8, 0.8)
# to save the video using opencv
# cap = cv2.VideoCapture(0)
oakCam.setResolution(dai.ColorCameraProperties.SensorResolution.THE_1080_P)
manip.setMaxOutputFrameSize(12441600)
oakCam.video.link(manip.inputImage)
manip.out.link(manipOut.input)
controlIn.out.link(oakCam.inputControl)
with dai.Device(pipeline) as device:
controlQueue = device.getInputQueue(controlIn.getStreamName(),maxSize=30, blocking=False)
qPreview = device.getOutputQueue("preview", maxSize=30, blocking=False)
temp = dict()
fc = 0
while True:
img = qPreview.get()
fc += 1
frame_name = f"frame_{time.time()}.jpg"
output_path = f"{output_folder}/{frame_name}"
temp[frame_name] = img
if cv2.waitKey(1) == ord('q'):
break
print(fc)
for filename, f in temp.items():
frame = f.getCvFrame()
output_path = f"{output_folder}/{filename}"
cv2.imwrite(output_path,frame)
cv2.destroyAllWindows()
# Example usage
output_folder = f"./testPhotos" # change as needed
save_frames(output_folder)
Here's another MRE of a script to save videos and convert using ffmpeg and trying to save the frames as JPEGS:
##
#!/usr/bin/env python3
# Script to save videos in .h265 format from oak camera
import depthai as dai
import time
import os
import cv2
# Create pipeline
pipeline = dai.Pipeline()
# Define sources and output
camRgb = pipeline.create(dai.node.ColorCamera)
ctrl = dai.CameraControl()
videoEnc = pipeline.create(dai.node.VideoEncoder)
xout = pipeline.create(dai.node.XLinkOut)
stillEnc = pipeline.create(dai.node.VideoEncoder)
xout.setStreamName('h265')
# Properties
camRgb.setBoardSocket(dai.CameraBoardSocket.CAM_A)
fps = 30
camRgb.setResolution(dai.ColorCameraProperties.SensorResolution.THE_4_K)
videoEnc.setDefaultProfilePreset(fps, dai.VideoEncoderProperties.Profile.H265_MAIN)
camRgb.setSensorCrop(0.2, 0.1) # By default 0.25, 0.25 for center crop
# Linking
camRgb.video.link(videoEnc.input)
videoEnc.bitstream.link(xout.input)
with dai.Device(pipeline) as device:
# Output queue will be used to get the encoded data from the output defined above
q = device.getOutputQueue(name="h265", maxSize=30, blocking=True)
# The .h265 file is a raw stream file (not playable yet)
curr = int(round(time.time()))
rawFile = rf'.\rawStreams\{curr}.h265'
convertedFile = rf'.\convertedStreams\{curr}.mp4'
temp = dict()
fc = 0
with open(rawFile, 'wb') as videoFile:
print("Press Ctrl+C to stop encoding...")
try:
while True:
h265Packet = q.get() # Blocking call, will wait until a new data has arrived
h265Packet.getData().tofile(videoFile) # Appends the packet data to the opened file
fc += 1
frame_name = f"frame_{int(time.time()*1000)}.jpeg"
temp[frame_name] = h265Packet
except KeyboardInterrupt:
# Keyboard interrupt (Ctrl + C) detected
pass
print(fc)
output_folder = rf".\testPhotos"
for filename, f in temp.items():
with open(filename, "wb") as fi:
fi.write(f.getData())
print('Image saved to', filename)
print("To view the encoded data, convert the stream file (.h265) into a video file (.mp4) using a command below:")
# print("ffmpeg -framerate 30 -i video.h265 -c copy video.mp4")
command = f"ffmpeg -framerate {fps} -i {rawFile} -c copy {convertedFile}"
os.system(command)
`
If anyone can help,
I managed to save frames at 30 FPS but I think it's capping there because of this warning:
[184430108104DB0E00] [1.1] [0.801] [ColorCamera(0)] [warning] LCM48 supported resolutions: 4_K / 4000X3000 / 5312X6000. Defaulting to 4_K
I have it set to:
camRgb.setResolution(dai.ColorCameraProperties.SensorResolution.THE_1080_P)
camRgb.setVideoSize(1920, 1080)
But I'm guessing it defaults to 4k. Can anyone help? This is on the Oak1 Max
Hi JaimilDalwadi
The lowest sensor resolution for Max is indeed 4K. You can try downscaling it using ISP.
This capping you are referring to, does is come from camera being unable to process images fast enough or the ffmpeg?
Thanks,
Jaka
This time I'm not using ffmpeg, I'm simply saving them to a dictionary and then saving them to files at the end like in the below script, so I'm not sure if it's being capped anywhere:
#!/usr/bin/env python3
# Script to save videos in .h265 format from oak camera
import depthai as dai
import time
import os
import cv2
# Create pipeline
pipeline = dai.Pipeline()
# Define sources and output
camRgb = pipeline.create(dai.node.ColorCamera)
ctrl = dai.CameraControl()
xout = pipeline.create(dai.node.XLinkOut)
xoutStill = pipeline.create(dai.node.XLinkOut)
xout.setStreamName('h265')
xoutStill.setStreamName('preview')
# Properties
camRgb.setBoardSocket(dai.CameraBoardSocket.RGB)
fps = 60
camRgb.setResolution(dai.ColorCameraProperties.SensorResolution.THE_1080_P)
camRgb.setPreviewSize(360,360)
# camRgb.setIspScale(1,2)
# camRgb.setVideoSize(1920, 1080)
stillEnc.setDefaultProfilePreset(fps, dai.VideoEncoderProperties.Profile.H265_MAIN)
# Linking
camRgb.preview.link(xoutStill.input)
with dai.Device(pipeline) as device:
device.setLogLevel(dai.LogLevel.DEBUG)
device.setLogOutputLevel(dai.LogLevel.DEBUG)
# Output queue will be used to get the encoded data from the output defined above
qPreview = device.getOutputQueue(name="preview", maxSize=60,blocking=False)
curr = int(round(time.time()))
rawFile = rf'.\rawStreams\{curr}.h265'
convertedFile = rf'.\convertedStreams\{curr}.mp4'
temp = dict()
fc = 0
starttime = time.time()
totaltime = 0
with open(rawFile, 'wb') as videoFile:
print("Press Ctrl+C to stop encoding...")
try:
while True:
fc += 1
frame = qPreview.get()
frame_name = f"frame_{int(time.time()*1000)}.jpeg"
temp[frame_name] = frame
# cv2.imshow("rgb",frame)
except KeyboardInterrupt:
# Keyboard interrupt (Ctrl + C) detected
totaltime = time.time() - starttime
pass
print(f"Total frame count: {fc}")
print(f"Total time run: {totaltime}")
print(f"FPS: {fc/totaltime}")
output_folder = rf".\testPhotos"
for filename, f in temp.items():
pathout = f"../testPhotos/{filename}"
f = f.getCvFrame()
cv2.imwrite(pathout,f)
`
Hi JaimilDalwadi
And the number of frames you are getting?
Since you have set the queue size to 60, when ending the stream with ctrl+c, I think there might still be some frames left in that queue that haven't yet been read, so you get lower number of frames than you should be getting.
Thoughts?
Jaka
I was getting around 29 fps. I'm not sure if its the queue size, I tested with the ISP downscaling to (1,2) but it still only gives about the same. Do you think it could be a camera issue? Or something with the configuration such that it keeps using 4k resolution or limits it to 30 fps instead for some reason?
Hi JaimilDalwadi
I don't know for sure. You can try running your script with DEPTHAI_LEVEL=TRACE python3 <file>
to see how much time each frame acquisition took.
Thanks,
Jaka
Thank you for all the help! I was able to save frames for x number of seconds on command.
I am facing issues though as it starts to not get any frames. I basically wait on the keyboard press for "c" and set some flags and run the following code:
`
if getImgs and time.time()-starttime <= 1:
frame = qPreview.tryGet()
if frame is not None:
fc += 1
frame_name = f"frame_{int(time.time()*1000)}.jpeg"
temp[frame_name] = frame
`
When I press c the first time, it works and gets around 40 fps, but when I press c the second time after everything has saved, it only gets around 10, and then anytime I press c again, it just doesn't get anything. Could it be anything to do with the video pipeline? Is it possible the queue gets empty for some reason or the camera doesn't get any more frames for some reason?
These are the pipelines:
xoutPrev = pipeline.create(dai.node.XLinkOut)
xoutPrev.setStreamName('preview')
camRgb.video.link(xoutPrev.input)
qPreview = device.getOutputQueue(name="preview", maxSize=10,blocking=False)
Hi JaimilDalwadi
Can you add the code as well so I can test locally? And make it as minimal as you can.
Thanks,
Jaka
I somehow got it to work with the MRE, maybe there were some issues in my original script. Are there any improvements I can make to this MRE code:
#!/usr/bin/env python3
import depthai as dai
import time
import os
import cv2
import keyboard
# Create pipeline
pipeline = dai.Pipeline()
# Define sources and output
camRgb = pipeline.create(dai.node.ColorCamera)
xoutPrev = pipeline.create(dai.node.XLinkOut)
xoutPrev.setStreamName('preview')
camRgb.setBoardSocket(dai.CameraBoardSocket.RGB)
fps = 30
camRgb.setResolution(dai.ColorCameraProperties.SensorResolution.THE_1080_P)
camRgb.video.link(xoutPrev.input)
with dai.Device(pipeline) as device:
qPreview = device.getOutputQueue(name="preview", maxSize=10,blocking=False)
# The .h265 file is a raw stream file (not playable yet)
temp = dict()
fc = 0
starttime = time.time()
totaltime = 0
getImgs = False
try:
while True:
if getImgs and time.time()-starttime <= 1:
frame = qPreview.tryGet()
if frame is not None:
fc += 1
frame_name = f"{int(time.time()*1000)}.jpeg"
temp[frame_name] = frame
elif getImgs:
totaltime = time.time() - starttime
print(f"Total frame count: {fc}")
print(f"Total time run: {totaltime}")
print(f"FPS: {fc/totaltime}")
output_folder = rf".\testPhotos"
for filename, f in temp.items():
pathout = f"../testPhotos/{filename}"
f = f.getCvFrame()
cv2.imwrite(pathout,f)
getImgs = False
temp.clear()
fc = 0
totaltime = 0
if not getImgs:
keyboard.wait("c")
getImgs = True
starttime = time.time()
except KeyboardInterrupt:
pass
Hi JaimilDalwadi
Great! So I assume the code works as expected? The point of a MRE is to find the minimal amount of code you need to reproduce the issue you are facing. Very often the issue goes away on it's own when shrinking down the code. I am not sure what the cause for the above error is, but since the script is now working I feel there is no need to dig into what is possibly just a coding mistake.
Thanks,
Jaka
Yessir, thank you so much for the help! It works as required for now, if anything breaks I know who to ask