Continuing the discussion from Nanoowl Container doesnt open camera: Hello NVIDIA Team, I know that NanoOWL is not supporting CSI Camera but can you support to figure out where is my issue as some engineers make it work ex: @kikoyah . I’m still getting no camera from the browser … i Have been used the bellow commands to run NanoOWL : 0-sudo apt update && sudo apt install v4l2loopback-dkms v4l-utils 1-jetson-containers run --csi2webcam --workdir /opt/nanoowl $(autotag nanoowl) 2- pip install --index-url jp6/cu126 index aiohttp 3-python3 tree_demo.py --camera 1 --resolution 640x480 ../../data/owl_image_encoder_patch32.engine [image]

Hello, I purchased USB Web Cam and it’s working fine for NANOOWL, But for CSI camera, I tried many time but no luck. I stopped trying because Nvidia engineers said that CSI camera is not supported and they don’t care to update the script…I tried to update the code by getting help from ChatGpt but it’s very hard to do the changing due to it’s require to update in different places in the code .

Hi, The sample read camera with OpenCV cv2.VideoCapture() API. examples/tree_demo/tree_demo.py main await ws.close(code=WSCloseCode.GOING_AWAY, message='Server shutdown') async def detection_loop(app: web.Application): loop = asyncio.get_running_loop() logging.info("Opening camera.") camera = cv2.VideoCapture(CAMERA_DEVICE) camera.set(cv2.CAP_PROP_FRAME_WIDTH, width) camera.set(cv2.CAP_PROP_FRAME_HEIGHT, height) logging.info("Loading predictor.") def _read_and_encode_image(): re, image = camera.read() if not re: You will need to update the command for the CSI camera. Thanks.

Hi @AastaLLL , ** I know you can reject this request due to NVIDIA not support CSI camera for this Project , But you can have look and share your advices As per chatGpt below is the updated code for tree_demo.py could you please verify below code .. this code should be run for both CSI or USB WEB camera ..**And if we updated the CSI Camera will work directly from container ? as also face issue during from inside/outside container , Recognition issues . ** import asyncio import argparse from aiohttp import web, WSCloseCode import logging import weakref import cv2 import time import PIL.Image import matplotlib.pyplot as plt from typing import List from nanoowl.tree import Tree from nanoowl.tree_predictor import TreePredictor from nanoowl.tree_drawing import draw_tree_output from nanoowl.owl_predictor import OwlPredictor # -------- GStreamer Pipeline for CSI Camera (Jetson) -------- # def gstreamer_pipeline(sensor_id=0, width=640, height=480, framerate=30, flip_method=0): """ Builds a GStreamer pipeline string to access a CSI camera (e.g. IMX219) on NVIDIA Jetson devices. """ return ( f"nvarguscamerasrc sensor_id={sensor_id} ! " f"video/x-raw(memory:NVMM), width={width}, height={height}, " f"format=NV12, framerate={framerate}/1 ! nvvidconv flip-method={flip_method} ! " f"video/x-raw, width={width}, height={height}, format=BGRx ! " f"videoconvert ! video/x-raw, format=BGR ! appsink" ) if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument("image_encode_engine", type=str) parser.add_argument("--image_quality", type=int, default=50) parser.add_argument("--port", type=int, default=7860) parser.add_argument("--host", type=str, default="0.0.0.0") # ✅ Camera type selection: USB or CSI parser.add_argument("--camera_type", type=str, default="usb", choices=["usb", "csi"], help="Select camera type: 'usb' uses /dev/video*, 'csi' uses Jetson CSI camera.") parser.add_argument("--camera", type=int, default=0, help="Camera index: For USB it is /dev/videoX, for CSI it is sensor_id value.") parser.add_argument("--resolution", type=str, default="640x480", help="Resolution in WIDTHxHEIGHT format") parser.add_argument("--framerate", type=int, default=30, help="FPS for CSI camera") args = parser.parse_args() width, height = map(int, args.resolution.split("x")) # Initialize the predictor predictor = TreePredictor( owl_predictor=OwlPredictor( image_encoder_engine=args.image_encode_engine ) ) # Global prompt data (text to detect) prompt_data = None # Initialize camera depending on selected type if args.camera_type == "csi": cam_str = gstreamer_pipeline(sensor_id=args.camera, width=width, height=height, framerate=args.framerate) camera = cv2.VideoCapture(cam_str, cv2.CCAP_GSTREAMER) logging.info(f"Using CSI Camera (sensor_id={args.camera})") else: camera = cv2.VideoCapture(args.camera) camera.set(cv2.CAP_PROP_FRAME_WIDTH, width) camera.set(cv2.CAP_PROP_FRAME_HEIGHT, height) logging.info(f"Using USB Camera (/dev/video{args.camera})") ✅ ✔ How to Run It 🔹 USB Camera (default /dev/video0): python3 app.py vit_base_patch16_224 --camera_type usb --camera 0 --resolution 1280x720 🔹 CSI Camera (Jetson IMX219): python3 app.py vit_base_patch16_224 --camera_type csi --camera 0 --resolution 1280x720 --framerate 30

Hi @AastaLLL , I purchased USB webcam in order to see if the NanoOWL for my jeston orin nano super dev the image is frezzing do you know why ?

Hi, Are you able to read frames with OpenCV cv2.VideoCapture() API? If so, the same pipeline should also work in the nanoowl example. [image] OpenCV Video Capture with GStreamer doesn't work on ROS-melodic Jetson TX2 Hi, Once you confirm the source is valid, you may also try this simple code: import sys import cv2 def read_cam(): cap = cv2.VideoCapture("nvarguscamerasrc ! video/x-raw(memory:NVMM), width=(int)1920, height=(int)1080,format=(string)NV12, framerate=(fraction)30/1 ! nvvidconv ! video/x-raw, format=(string)BGRx ! videoconvert ! appsink") if cap.isOpened(): cv2.namedWindow("demo", cv2.WINDOW_AUTOSIZE) while True: ret_val, img = cap.read(); cv2.ims… Thanks.

Hi @AastaLLL , Thank you for reply, the project working successfully and I’m happy finally that i did it but it’s take a lots of time and dedications however the issue has been fixed in the next day i come to office and tried again and result is fine. But I’m wondering why when run the project the temperature of device increased and receiving pop up messages notifications about throttling… . what i did is to disable notification .. please share with me how can run the project without to reach high temp(61 cellecius degree) also i want to start to doing reverse engineer in order to understand the source code and Deep Learning Algorithms which has been used in Nano OWL can you please guiding me ?

Hi, You can set the device to lower power mode. $ sudo nvpmode -m 1 Or you can turn off the throttling message directly: [image] Offline cv0, cv1 and cv2 Jetson Orin Nano Hi, We test a custom nvpmodel with 2x CPU@1728, GPU@1020 and EMC@3199. Under the heavy load GPU tasks (ex. LLM inference), we can still observe the OC throttling behavior. But similar to the previous testing, the impact on the performance is limited as the clocks don’t decrease much. (1019->1003) 01-22-2025 06:53:47 RAM 7119/7620MB (lfb 4x4MB) SWAP 580/16384MB (cached 155MB) CPU [0%@1728,2%@1728,off,off,off,off] EMC_FREQ 43%@3199 GR3D_FREQ 99%@[1008] NVDEC off NVJPG off NVJPG1 off VIC off OF… Thanks.

Hello, I am stuck at same point Have you figured out if it works with CSI camera, if yes would be grateful if you could tell the sequential steps you took…

--csi2webcam option is not working for IMX219 Camera

Robotics & Edge Computing Jetson Systems Jetson Orin Nano

AastaLLL November 5, 2025, 7:06am 8

Hi,

Are you able to read frames with OpenCV cv2.VideoCapture() API?
If so, the same pipeline should also work in the nanoowl example.

Thanks.

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--csi2webcam option is not working for IMX219 Camera

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