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| The sensor will capture in the 1920x1080@30fps mode and the pipeline will encode the video and save it into test.ts file. | | The sensor will capture in the 1920x1080@30fps mode and the pipeline will encode the video and save it into test.ts file. |
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− | === Performance ===
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− |
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− | ==== ARM Load ====
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− |
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− | Tegrastats display the following output when capturing with the sensor driver used in the Jetson Nano platform:
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− |
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− | <pre>
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− | RAM 1167/3963MB (lfb 522x4MB) CPU [25%@1132,16%@1132,9%@1132,12%@1132]
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− | RAM 1168/3963MB (lfb 522x4MB) CPU [28%@921,12%@921,9%@921,13%@921]
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− | RAM 1167/3963MB (lfb 522x4MB) CPU [23%@921,12%@921,13%@921,10%@921]
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− | RAM 1167/3963MB (lfb 522x4MB) CPU [28%@921,8%@921,12%@921,12%@921]
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− | RAM 1169/3963MB (lfb 522x4MB) CPU [26%@1479,9%@1479,16%@1479,9%@1479]
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− | RAM 1167/3963MB (lfb 522x4MB) CPU [28%@921,13%@921,9%@921,16%@921]
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− | RAM 1168/3963MB (lfb 522x4MB) CPU [23%@1036,13%@1036,14%@1036,7%@1036]
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− | RAM 1167/3963MB (lfb 522x4MB) CPU [25%@921,12%@921,9%@921,11%@921]
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− | RAM 1168/3963MB (lfb 522x4MB) CPU [25%@921,13%@921,16%@921,12%@921]
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− | RAM 1169/3963MB (lfb 522x4MB) CPU [27%@921,12%@921,8%@921,13%@921]
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− | RAM 1168/3963MB (lfb 522x4MB) CPU [24%@921,8%@921,13%@921,10%@921]
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− | RAM 1169/3963MB (lfb 522x4MB) CPU [29%@921,13%@921,15%@921,6%@921]
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− | </pre>
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− |
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− | ==== Framerate ====
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− | Using the next pipeline we were able to measure the framerate for single capture with perf element:
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− | <pre style="background:#d6e4f1">
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− | gst-launch-1.0 nvarguscamerasrc sensor-id=0 ! 'video/x-raw(memory:NVMM), width=(int)1920, height=(int)1080, format=(string)NV12, framerate=(fraction)30/1' ! perf ! fakesink
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− | </pre>
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− |
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− | <pre>
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− | GST-PERF-INFO --> timestamp: 0:44:34.324884537; bps: 0,000; mean_bps: 0,000; fps: 0,000; mean_fps: 0,000
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− | GST-PERF-INFO --> timestamp: 0:44:35.354956530; bps: 24192,000; mean_bps: 8064,000; fps: 30,095; mean_fps: 30,095
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− | GST-PERF-INFO --> timestamp: 0:44:36.355520992; bps: 241920,000; mean_bps: 66528,000; fps: 29,983; mean_fps: 30,039
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− | GST-PERF-INFO --> timestamp: 0:44:37.356864989; bps: 241920,000; mean_bps: 101606,400; fps: 29,960; mean_fps: 30,013
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− | GST-PERF-INFO --> timestamp: 0:44:38.357433006; bps: 241920,000; mean_bps: 124992,000; fps: 29,983; mean_fps: 30,005
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− | GST-PERF-INFO --> timestamp: 0:44:39.358908010; bps: 241920,000; mean_bps: 141696,000; fps: 29,956; mean_fps: 29,995
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− | GST-PERF-INFO --> timestamp: 0:44:40.359357860; bps: 241920,000; mean_bps: 154224,000; fps: 29,987; mean_fps: 29,994
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− | GST-PERF-INFO --> timestamp: 0:44:41.360617558; bps: 241920,000; mean_bps: 163968,000; fps: 29,962; mean_fps: 29,989
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− | GST-PERF-INFO --> timestamp: 0:44:42.361400607; bps: 241920,000; mean_bps: 171763,200; fps: 29,977; mean_fps: 29,988
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− | GST-PERF-INFO --> timestamp: 0:44:43.362674329; bps: 241920,000; mean_bps: 178141,091; fps: 29,962; mean_fps: 29,985
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− | GST-PERF-INFO --> timestamp: 0:44:44.363320878; bps: 241920,000; mean_bps: 183456,000; fps: 29,981; mean_fps: 29,984
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− | GST-PERF-INFO --> timestamp: 0:44:45.364541434; bps: 241920,000; mean_bps: 187953,231; fps: 29,963; mean_fps: 29,983
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− | GST-PERF-INFO --> timestamp: 0:44:46.365041950; bps: 241920,000; mean_bps: 191808,000; fps: 29,985; mean_fps: 29,983
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− | GST-PERF-INFO --> timestamp: 0:44:47.366186373; bps: 241920,000; mean_bps: 195148,800; fps: 29,966; mean_fps: 29,981
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− | GST-PERF-INFO --> timestamp: 0:44:48.366852845; bps: 241920,000; mean_bps: 198072,000; fps: 29,980; mean_fps: 29,981
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− | GST-PERF-INFO --> timestamp: 0:44:49.368081920; bps: 241920,000; mean_bps: 200651,294; fps: 29,963; mean_fps: 29,980
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− | GST-PERF-INFO --> timestamp: 0:44:50.368731947; bps: 241920,000; mean_bps: 202944,000; fps: 29,981; mean_fps: 29,980
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− | GST-PERF-INFO --> timestamp: 0:44:51.370037391; bps: 241920,000; mean_bps: 204995,368; fps: 29,961; mean_fps: 29,979
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− | GST-PERF-INFO --> timestamp: 0:44:52.370821395; bps: 241920,000; mean_bps: 206841,600; fps: 29,976; mean_fps: 29,979
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− | GST-PERF-INFO --> timestamp: 0:44:53.371545430; bps: 241920,000; mean_bps: 208512,000; fps: 29,978; mean_fps: 29,979
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− | GST-PERF-INFO --> timestamp: 0:44:54.372675500; bps: 241920,000; mean_bps: 210030,545; fps: 29,966; mean_fps: 29,978
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− | GST-PERF-INFO --> timestamp: 0:44:55.373703465; bps: 241920,000; mean_bps: 211417,043; fps: 29,969; mean_fps: 29,978
| |
− | </pre>
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− |
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− | {{ContactUs}}
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− | [[Category:Jetson]][[Category:Jetson V4L2 Drivers]][[Category:Sony]]
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Problems running the pipelines shown on this page? Please see our GStreamer Debugging guide for help.
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Omnivision AR0820 Features
The AR0820AT is a 1/2−inch CMOS digital image sensor with a 3848 H x 2168 V active−pixel array. This advanced automotive sensor captures images in either linear or high dynamic range, with rolling−shutter readout.
AR0820AT is optimized for both low light and challenging high dynamic range scene performance, with a 2.1 µm DR−Pix BSI pixel and on−sensor 140 dB HDR capture capability. The sensor includes advanced functions such as in−pixel binning, windowing, and both video and single frame modes to provide flexible Region of Interest (ROI) or specific resolution in order to enhance performance in extreme low light conditions. The sophisticated sensor fault detection features and embedded data on AR0820AT are designed to enable camera ASIL B compliance. The device is programmable through a simple two−wire serial interface and supports MIPI output interface.
Supported Platforms
Features Included in the Driver
Xavier
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Feature
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Details
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SDK Support
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3848x2168@30fps
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GMSL2, 4 Lanes, RAW12
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L4T 32.5.1 / Jetpack 4.5.1
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Enabling the Driver
In order to use this driver, you have to patch and compile the kernel source using JetPack:
- Once you have the source code, apply the following the patches in order to add the changes required for the IMX327 camera at kernel and dtb level.
4.5.1_ar0820.patch
- Follow the instructions for building the kernel, and then flash the image.
Make sure to enable ar0820 driver support:
make menuconfig
-> Device Drivers
-> Multimedia support (MEDIA_SUPPORT [=y])
-> NVIDIA overlay Encoders, decoders, sensors and other helper chips
-> MAX9296 Deserializer I2C IO Expander (I2C_IOEXPANDER_DESER_MAX9296 [=y])
Using the Driver
GStreamer Examples
Capture and Display
gst-launch-1.0 nvarguscamerasrc ! 'video/x-raw(memory:NVMM), width=1920, height=1080, format=NV12, framerate=30/1' ! nvvidconv ! xvimagesink
Video Encoding
CAPS="video/x-raw(memory:NVMM), width=(int)1920, height=(int)1080, format=(string)NV12, framerate=(fraction)30/1"
gst-launch-1.0 nvarguscamerasrc sensor-id=0 num-buffers=500 ! "video/x-raw(memory:NVMM), width=(int)1920, height=(int)1080, format=(string)NV12, framerate=(fraction)30/1" ! omxh264enc ! mpegtsmux ! filesink location=test.ts
The sensor will capture in the 1920x1080@30fps mode and the pipeline will encode the video and save it into test.ts file.