cvitek-tdl-sdk-sg200x's People
cvitek-tdl-sdk-sg200x's Issues
Yolov5 / Yolov8 support for sample_vi_od and ready-to-go models (cvimodel)
It would be amazing to have a working sample for object detection with Yolov5 / Yolov8 and cvimodel files for these in the sdk :)
something wrong in sample/compile_sample.sh's CHIP_ARCH
duo 256m 的芯片是sg2002,即cv1812cp,但是compile_sample.sh的CHIP_ARCH同cvitek-tdl-sdk-cv180x目录下一样,均为CV180X。是不是这个仓库的compile_sample.sh部分代码没有修改?或者说其实cv181和cv180是兼容的?
sample_vi_fd and all camera-related samples causing kernel panic
Hello. As mentioned here:
milkv-duo/duo-buildroot-sdk#70
All samples using a camera are causing MilkV Duo 256M to freeze and cause kernel panic. This happens on freshly compiled samples from this repository, on buildroot releases 1.0.8, 1.0.9, 1.1.0, as well as with the included camera-test.sh. When will this be solved?
YOLOv5/YOLOv3 cannot find output tensor name: layer82-conv_dequant
When trying to run sample_vi_od with yolov5 / yolov3 prepared according to:
https://milkv.io/docs/duo/application-development/tpu/tpu-yolov5
https://milkv.io/docs/duo/application-development/tdl-sdk/tdl-sdk-yolov5
This error happens. Can you provide YOLO models that work with sample_vi_od or any other way to detect/identify objects with yolo and stream over RTSP?
[root@milkv-duo]~# ./sample_vi_od yolov3 yolov3-tiny_int8_fuse.cvimodel
[SAMPLE_COMM_SNS_ParseIni]-1950: Parse /mnt/data/sensor_cfg.ini
[parse_source_devnum]-1605: devNum = 1
[parse_sensor_name]-1686: sensor = GCORE_GC2083_MIPI_2M_30FPS_10BIT
[parse_sensor_busid]-1714: bus_id = 2
[parse_sensor_i2caddr]-1725: sns_i2c_addr = 37
[parse_sensor_mipidev]-1736: mipi_dev = 0
[parse_sensor_laneid]-1747: Lane_id = 1, 0, 2, -1, -1
[parse_sensor_pnswap]-1758: pn_swap = 0, 0, 0, 0, 0
MMF Version:7e0cc6a08-musl_riscv64
Create VBPool[0], size: (3110400 * 3) = 9331200 bytes
Create VBPool[1], size: (3110400 * 3) = 9331200 bytes
Create VBPool[2], size: (2359296 * 1) = 2359296 bytes
Total memory of VB pool: 21021696 bytes
Initialize SYS and VB
Initialize VI
ISP Vipipe(0) Allocate pa(0x8c70e000) va(0x0x3fc924d000) size(291120)
stSnsrMode.u16Width 1920 stSnsrMode.u16Height 1080 25.000000 wdrMode 0 pstSnsObj 0x3fca09f860
[SAMPLE_COMM_VI_StartMIPI]-483: sensor 0 stDevAttr.devno 0
awbInit ver 6.8@2021500
0 R:1400 B:3100 CT:2850
1 R:1500 B:2500 CT:3900
2 R:2300 B:1600 CT:6500
Golden 1024 1024 1024
WB Quadratic:0
isWdr:0
ViPipe:0,===GC2083 1080P 30fps 10bit LINE Init OK!===
********************************************************************************
cvi_bin_isp message
gerritId: 36403 commitId: c69c5863e
md5: cab880835a2ad5184de5ed7762404b84
sensorNum 1
sensorName0 2083
PQBIN message
gerritId: 80171 commitId: 5c9d8fc5d
md5: ba5a510e093ad42db6788e6c2d13169e
sensorNum 3
sensorName0 2053
author: wanqiang.he desc: 思博慧CV1812H_GC2083_RGB_mode_V1.0.0
createTime: 2023-08-04 16:48:08version: V1.1
tool Version: v3.0.5.24 mode:
********************************************************************************
sensorName(0) mismatch, mwSns:2083 != pqBinSns:2053
[SAMPLE_COMM_ISP_Thread]-95: ISP Dev 0 running!
Initialize VPSS
---------VPSS[0]---------
Input size: (1920x1080)
Input format: (19)
VPSS physical device number: 1
Src Frame Rate: -1
Dst Frame Rate: -1
--------CHN[0]-------
Output size: (1920x1080)
Depth: 1
Do normalization: 0
Src Frame Rate: -1
Dst Frame Rate: -1
----------------------
--------CHN[1]-------
Output size: (1920x1080)
Depth: 1
Do normalization: 0
Src Frame Rate: -1
Dst Frame Rate: -1
----------------------
------------------------
Bind VI with VPSS Grp(0), Chn(0)
Attach VBPool(0) to VPSS Grp(0) Chn(0)
Attach VBPool(1) to VPSS Grp(0) Chn(1)
Initialize VENC
venc codec: h264
venc frame size: 1920x1080
Initialize RTSP
rtsp://169.254.115.188/h264
prio:0
version: 1.4.0
yolov3-tiny Build at 2024-04-24 21:21:09 For platform cv181x
Max SharedMem size:7782400
Enter TDL thread
Enter encoder thread
0 R:1165 B:3087 CT:2688
1 R:1464 B:2327 CT:3937
2 R:1974 B:1613 CT:7225
Golden 1464 1024 2327
wdrLEOnly:1
terminate called after throwing an instance of 'std::invalid_argument'
what(): cannot find output tensor name: layer82-conv_dequant
Aborted
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