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    UNSOLVED ROC-RK3588S-PC and IMX462

    Rockchip App camera
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    • N
      natzguk last edited by

      Hi
      I have ROC-RK3588S-PC and IMX462. I followed the instructions and installed the image.
      ROC-RK3588S-PC_Ubuntu_v1.0.6f_veye_mvcam_vbyone_230830.img

      Unfortunately dmesg | grep veye shows an error. See screenshots.
      Please help.

      https://imgbly.com/ib/PIGIshhUce.jpg
      https://imgbly.com/ib/J06XI5XFSE.jpg

      veye_xumm 1 Reply Last reply Reply Quote 0
      • veye_xumm
        veye_xumm @natzguk last edited by

        @natzguk

        @natzguk said in ROC-RK3588S-PC and IMX462:

        ROC-RK3588S-PC_Ubuntu_v1.0.6f_veye_mvcam_vbyone_230830.img

        Do not use this image.

        Use this one：
        ROC-RK3588S-PC_Ubuntu_v1.0.4b_221226_veyecam2m.img

        N 2 Replies Last reply Reply Quote 0
        • N
          natzguk @veye_xumm last edited by

          @veye_xumm

          It works now! Thank you.

          Maybe you can update the documentation. https://wiki.veye.cc/index.php/VEYE_CS_Camera_on_Firfly_Boards

          For me it was not clear and I just downloaded the latest image for RK3588S which is v1.0.6f

          1 Reply Last reply Reply Quote 0
          • N
            natzguk @veye_xumm last edited by natzguk

            Hi @veye_xumm

            On RK3588S with opencv I only get slow FPS reading from IMX462 of around 15 FPS. The same code on RaspberryPi can read with 30FPS.

            Here is what I tried:

            1.)

            camera.open(
        "v4l2src device=/dev/video0 ! video/x-raw, format=(string)NV16, width=(int)1920, height=(int)1080,framerate=30/1 ! videoconvert ! appsink'",
        cv::CAP_GSTREAMER);

            Only 11-13 FPS

            2.)

            camera.open(
        "v4l2src io-mode=dmabuf device=/dev/video0 ! video/x-raw, format=(string)UYVY, width=(int)1920, height=(int)1080 ! appsink",
        cv::CAP_GSTREAMER);

            Can open camera but can not read frame

            3.)

            camera.open(0, cv::CAP_V4L2);
camera.set(cv::CAP_PROP_FRAME_WIDTH, 1920);
camera.set(cv::CAP_PROP_FRAME_HEIGHT, 1080);

            Can open camera but can not read frame

            Here is the output of dmesg

            firefly@firefly:~$ dmesg | grep veye
[    6.065238] veyecam2m 7-003b: veye camera driver version: 00.01.01
[    6.065262] veyecam2m 7-003b: Failed to get power-gpios, maybe no use
[    6.065422] veyecam2m 7-003b: supply avdd not found, using dummy regulator
[    6.065498] veyecam2m 7-003b: supply dovdd not found, using dummy regulator
[    6.065531] veyecam2m 7-003b: supply dvdd not found, using dummy regulator
[    6.065560] veyecam2m 7-003b: could not get default pinstate
[    6.065565] veyecam2m 7-003b: could not get sleep pinstate
[    6.065580] veyecam2m 7-003b: Success to get veyecam2m endpoint data lanes, dts uses 2 lanes
[    6.187925] veyecam2m 7-003b:  camera id is veyecam2m
[    6.190818] veyecam2m 7-003b: sensor is IMX462
[    6.190860] veyecam2m 7-003b: board type is ONE board
[    6.191449] rockchip-csi2-dphy csi2-dphy0: dphy0 matches m00_b_veyecam2m 7-003b:bus type 5

            And v4l2-ctl

            firefly@firefly:~$ v4l2-ctl --list-formats-ext
ioctl: VIDIOC_ENUM_FMT
        Type: Video Capture Multiplanar

        [0]: 'NV16' (Y/CbCr 4:2:2)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [1]: 'NV61' (Y/CrCb 4:2:2)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [2]: 'NV12' (Y/CbCr 4:2:0)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [3]: 'NV21' (Y/CrCb 4:2:0)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [4]: 'YUYV' (YUYV 4:2:2)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [5]: 'YVYU' (YVYU 4:2:2)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [6]: 'UYVY' (UYVY 4:2:2)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [7]: 'VYUY' (VYUY 4:2:2)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [8]: 'RGB3' (24-bit RGB 8-8-8)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [9]: 'RGBP' (16-bit RGB 5-6-5)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [10]: 'BGRH' (18-bit BGRX 6-6-6-14)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [11]: 'RGGB' (8-bit Bayer RGRG/GBGB)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [12]: 'GRBG' (8-bit Bayer GRGR/BGBG)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [13]: 'GBRG' (8-bit Bayer GBGB/RGRG)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [14]: 'BA81' (8-bit Bayer BGBG/GRGR)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [15]: 'RG10' (10-bit Bayer RGRG/GBGB)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [16]: 'BA10' (10-bit Bayer GRGR/BGBG)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [17]: 'GB10' (10-bit Bayer GBGB/RGRG)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [18]: 'BG10' (10-bit Bayer BGBG/GRGR)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [19]: 'RG12' (12-bit Bayer RGRG/GBGB)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [20]: 'BA12' (12-bit Bayer GRGR/BGBG)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [21]: 'GB12' (12-bit Bayer GBGB/RGRG)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [22]: 'BG12' (12-bit Bayer BGBG/GRGR)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [23]: 'BYR2' (16-bit Bayer BGBG/GRGR)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [24]: 'GB16' (16-bit Bayer GBGB/RGRG)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [25]: 'GR16' (16-bit Bayer GRGR/BGBG)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [26]: 'RG16' (16-bit Bayer RGRG/GBGB)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [27]: 'Y16 ' (16-bit Greyscale)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [28]: 'GREY' (8-bit Greyscale)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [29]: 'EBD8' (Embedded data 8-bit)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [30]: 'SPD6' (Shield pix data 16-bit)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [31]: 'Y12 ' (12-bit Greyscale)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8
        [32]: 'Y10 ' (10-bit Greyscale)
                Size: Stepwise 64x64 - 1920x1080 with step 8/8

            Please help

            veye_xumm 1 Reply Last reply Reply Quote 0
            • veye_xumm
              veye_xumm @natzguk last edited by

              @natzguk
              Have you tried these samples here?
              https://github.com/veyeimaging/rk35xx_firefly/tree/main/linux/samples/opencv/veye camera

              N 1 Reply Last reply Reply Quote 0
              • N
                natzguk @veye_xumm last edited by natzguk

                @veye_xumm
                Yes please see my examples.

                camera.open(
        "v4l2src io-mode=dmabuf device=/dev/video0 ! video/x-raw, format=(string)UYVY, width=(int)1920, height=(int)1080 ! appsink",
        cv::CAP_GSTREAMER);

                Does not work. I can open the camera but the frames are always empty.

                firefly@firefly:~$ GST_DEBUG=3 gst-launch-1.0 v4l2src io-mode=dmabuf device=/dev/video0 ! video/x-raw, format=UYVY, width=1920, height=1080 ! appsink                 Setting pipeline to PAUSED ...
Pipeline is live and does not need PREROLL ...
Pipeline is PREROLLED ...
Setting pipeline to PLAYING ...
0:00:00.517057017 46983   0x5597da8c60 WARN                    v4l2 gstv4l2object.c:4735:gst_v4l2_object_probe_caps:<v4l2src0:src> Failed to probe pixel aspect ratio with VIDIOC_CROPCAP: Invalid argument
New clock: GstSystemClock
0:00:00.517846562 46983   0x5597da8c60 WARN                    v4l2 gstv4l2object.c:4528:gst_v4l2_object_get_crop_rect:<v4l2src0:src> Failed to get default crop rectangle with VIDIOC_G_SELECTION: Invalid argument
0:00:00.517940188 46983   0x5597da8c60 WARN                    v4l2 gstv4l2object.c:3278:gst_v4l2_object_reset_compose_region:<v4l2src0:src> Failed to get default compose rectangle with VIDIOC_G_SELECTION: Invalid argument
0:00:00.522044833 46983   0x5597da8c60 WARN          v4l2bufferpool gstv4l2bufferpool.c:850:gst_v4l2_buffer_pool_start:<v4l2src0:pool0:src> Uncertain or not enough buffers, enabling copy threshold
                N 1 Reply Last reply Reply Quote 0
                • N
                  natzguk @natzguk last edited by

                  I did some more tests and tested all the examples from https://github.com/veyeimaging/rk35xx_firefly/tree/main/linux/samples/opencv/veye camera

                  Files 1-3 do not work. No frames are shown. Only v4l2_opencv_show4.py works but it only reads with 15 FPS.

                  Can you confirm that the python opencv examples 1-3 work with ROC-RK3588S-PC and IMX462 ?

                  N 1 Reply Last reply Reply Quote 0
                  • N
                    natzguk @natzguk last edited by

                    Hi @veye_xumm
                    Do you know why UYVY does not work from the examples?

                    1 Reply Last reply Reply Quote 0
                    • N
                      natzguk last edited by

                      @veye_xumm Please help.

                      v4l2_opencv_show1.py
                      v4l2_opencv_show2.py
                      v4l2_opencv_show3.py

                      Do not work with ROC-RK3588S-PC and IMX462.

                      veye_xumm 1 Reply Last reply Reply Quote 0
                      • veye_xumm
                        veye_xumm @natzguk last edited by

                        @natzguk
                        I'm sorry for not replying earlier.
                        To be honest, we are not very familiar with OpenCV. I believe the low frame rate is due to the software-based UYVY to preview data format conversion, which involves CPU processing for each pixel, leading to inefficiency.
                        I will verify the samples and your script as soon as possible.

                        N 2 Replies Last reply Reply Quote 0
                        • N
                          natzguk @veye_xumm last edited by

                          @veye_xumm

                          Only format=NV12 (v4l2_opencv_show4.py) works with OpenCV but it requires videoconvert which is very slow.

                          I want to use format=UYVY (v4l2_opencv_show2.py) but it does not work with
                          ROC-RK3588S-PC and IMX462. I believe it is a problem with the driver for ROC-RK3588S-PC. The same code with format=UYVY works with Raspberry PI 4.

                          1 Reply Last reply Reply Quote 0
                          • N
                            natzguk @veye_xumm last edited by

                            @veye_xumm

                            Did you have any chance to check the samples

                            v4l2_opencv_show1.py
                            v4l2_opencv_show2.py
                            v4l2_opencv_show3.py

                            with ROC-RK3588S-PC and IMX462?

                            N 1 Reply Last reply Reply Quote 0
                            • N
                              natzguk @natzguk last edited by

                              @veye_xumm please help

                              veye_xumm 1 Reply Last reply Reply Quote 0
                              • veye_xumm
                                veye_xumm @natzguk last edited by

                                @natzguk

                                @natzguk said in ROC-RK3588S-PC and IMX462:

                                Only format=NV12 (v4l2_opencv_show4.py) works with OpenCV but it requires videoconvert which is very slow.
                                I want to use format=UYVY (v4l2_opencv_show2.py) but it does not work with
                                ROC-RK3588S-PC and IMX462. I believe it is a problem with the driver for ROC-RK3588S-PC. The same code with format=UYVY works with Raspberry PI 4.

                                I apologize for the delay in responding to your question. In fact, as mentioned here, the VICAP module of RK3588 does not support outputting the UYVY format, so please use the NV12 format instead.
                                Actually, I think using the NV12 format is a good choice.It will not lead to a decrease in system efficiency.

                                @natzguk said in ROC-RK3588S-PC and IMX462:

                                Did you have any chance to check the samples
                                v4l2_opencv_show1.py
                                v4l2_opencv_show2.py
                                v4l2_opencv_show3.py
                                with ROC-RK3588S-PC and IMX462?

                                Indeed, as you said, only sample4 works correctly. These samples are just collected examples of common ways to use OpenCV to access the camera, provided for customers as a reference.
                                As mentioned before, our expertise in OpenCV development is not extensive.

                                videoconvert is indeed an issue. I believe the internal data format of OpenCV is RGBA, and regardless of whether you use UYVY or NV12, conversion is needed.

                                N 1 Reply Last reply Reply Quote 0
                                • N
                                  natzguk @veye_xumm last edited by

                                  @veye_xumm

                                  If I use NV12 as described in sample4 I can only read frames with max 15FPS from the camera. This will not work for our application.

                                  Can you show me an example which can read frames with 30FPS?

                                  veye_xumm 1 Reply Last reply Reply Quote 0
                                  • veye_xumm
                                    veye_xumm @natzguk last edited by

                                    @natzguk I believe the key issue lies in videoconvert and the display, which has low efficiency. You can refer to our GStreamer for previewing.

                                    N 1 Reply Last reply Reply Quote 0
                                    • N
                                      natzguk @veye_xumm last edited by

                                      @veye_xumm
                                      I am not talking about previewing the frame. I am talking about simply reading the frame. No processing.

                                      Here is the example with sample4:

                                      import numpy as np
import cv2 as cv
import os
import time

cap = cv.VideoCapture('v4l2src device=/dev/video0 ! video/x-raw, format=NV12, width=1920, height=1080, framerate=30/1 ! videoconvert ! appsink', cv.CAP_GSTREAMER)

if not cap.isOpened():
    print("Cannot capture from camera. Exiting.")
    os._exit(0)

last_time = time.time()
frame_count = 0

while True:
    ret, frame = cap.read()
    if not ret:
        break

    frame_count += 1
    this_time = time.time()

    if this_time - last_time >= 1.0:
        fps = frame_count / (this_time - last_time)
        print(f"FPS: {fps}")
        last_time = this_time
        frame_count = 0


cap.release()
cv.destroyAllWindows()

                                      Simply reading the frame is currently only getting 15 FPS on ROC-RK3588S-PC. I believe this is a driver issue with NV12.

                                      veye_xumm 1 Reply Last reply Reply Quote 0
                                      • veye_xumm
                                        veye_xumm @natzguk last edited by

                                        @natzguk pls try this:
                                        https://github.com/veyeimaging/rk35xx_firefly/blob/main/linux/samples/gstreamer/veye camera/preview.sh

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