Hy, I’m trying to run a tutorial ( GitHub - theAIGuysCode/Object-Detection-API: Yolov3 Object Detection implemented as APIs, using TensorFlow and Flask ) on my jetson Nano (jetpack 4.3) but when I’m ready to run python app.py an error occurs (see an extract below). I have read something about a re…

Hi, Sorry that this is a hardware limitation since Nano only has 4G memory. Swap memory can be used by CPU but not GPU. It’s known that TensorFlow uses lots of memory on Jetson. So the better solution is to use TensorRT rather than TensorFlow. Thanks.

Hi, Could you try the GPU configure shared in this comment first? [image] Resource Exhausted Error Jetson Nano Hi, Could you try to set some limitation on the TensorFlow memory usage to see if helps first? 1. Limit the maximal memory available for TensorFlow gpu_option…

Hi, I copied this gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=0.6) sess = tf.Session(config=tf.ConfigProto(gpu_options=gpu_options)) config = tf.ConfigProto() config.gpu_options.allow_growth=True sess = tf.Session(config=config) into the python file. Unfortunately there is a prob…

Hi, For TensorFlow v2.x, please try the following: device = tf.config.list_physical_devices('GPU') tf.config.experimental.set_memory_growth(device[0], True) tf.config.experimental.set_virtual_device_configuration(device[0], [tf.config.experimental.VirtualDeviceConfiguration(memory_limit=1024)]) T…

First things first. Thanks for your help. I’m really very pleased about this. Your advice seemed to help and solved the problem. I’m really sorry for asking always new questions but there is a new problem. I already tried to solve the new problem on my own but I did not find a solution (unfortunate…

Hi, 1. If the configure doesn’t help, you may really meet the out of memory issue. This can be verified via tegrastats. $ sudo tegrastats RAM 1784/3956MB (lfb 91x4MB) SWAP 30/1978MB (cached 1MB) IRAM 0/252kB(lfb 252kB) … Please monitor the device with tegrastats at the same time and share th…

Thank you for your help in advance. I try to test this as soon as possible and share the output with you after that. Best regards

This is the continuation of my previous post. Output of sudo tegrastats within the virtual environment christopher@ccz:~/aiguyyolotest1/Object-Detection-API$ cd christopher@ccz:~$ source aiguyyolotest1/bin/activate (aiguyyolotest1) christopher@ccz:~$ cd aiguyyolotest1/Object-Detection-API/ (aiguyy…

I’m very sorry about the whole mess!!! I just realizied that there is an open error regarding the tiny version. Saving the yolov3 weights as tensorflow model did not work. Input: python load_weights.py --weights ./weights/yolov3-tiny.weights --output ./weights/yolov3-tiny.tf --tiny Output: (aig…

Hi, Thanks for sharing the detail. Based on the log, it seems that the ./weights/yolov3-tiny.weights file is not compatible to the default YOLOv3_tiny configure within the TensorFlow object detection API. Is this a customized model? If yes, would you mind to tell us how many class are you traini…

Jetson Nano running out of memory: ResourceExhaustedError: OOM when allocating tensor with shape[3,3,512,1024

Robotics & Edge Computing Jetson Systems Jetson Nano

AastaLLL September 17, 2020, 2:33am 3

Hi,

Could you try the GPU configure shared in this comment first?

Thanks.

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Jetson Nano running out of memory: ResourceExhaustedError: OOM when allocating tensor with shape[3,3,512,1024

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