Comments (3)
jkjung-avt
commented on June 17, 2024
When I tested my trained 'ssd_mobilenet_v2_egohands' on NVIDIA Jetson TX2, its inference speed was about 28.7ms per image. Reference: https://jkjung-avt.github.io/tf-trt-on-nano/
I guess your tensorflow is running in CPU mode. Please check and make sure you are using GPU version of tensorflow.
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lxy5513
commented on June 17, 2024
I use this tensorflow-gpu 1.12.0, but some prompt :
2019-07-04 11:59:59.571104: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0
2019-07-04 11:59:59.571141: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-07-04 11:59:59.571147: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0
2019-07-04 11:59:59.571153: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N
2019-07-04 11:59:59.571247: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10421 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:03:00.0, compute capability: 6.1)
Is it the reason for speed slow?
from hand-detection-tutorial.
jkjung-avt
commented on June 17, 2024
The log looks OK to me. Sorry, I don't have an idea about why the 'ssd_mobilenet_v2_egohands' model runs slowly on your platform for now...
from hand-detection-tutorial.
Related Issues (20)
- evel config HOT 1
- The training consume all my memory HOT 4
- Retraining custom object detector HOT 15
- 3.Run the installation script. Make sure the last step in the script HOT 1
- Can i train in python2 but applied in Jestson in Python3? HOT 1
- python prepare_egohands.py HOT 21
- Shuffle buffer filled. HOT 2
- How can I view the output log of the training HOT 6
- Trouble converting retrained SSD Mobilenet v2 model to TensorRT engine HOT 7
- tf_trt_models's 'camera_tf_trt.py' HOT 8
- Software to labelize your images HOT 3
- ./train.sh result window
- how to see several images HOT 6
- How to improve created model performance HOT 31
- Training with background images HOT 3
- Loaded runtime CuDNN library: 7.5.1 but source was compiled with: 7.6.0. HOT 3
- Retraining Custom MobilenetV2-fn and use on TensorRT HOT 14
- About model HOT 3
- Training on GTX 1080 Ti HOT 2
- Where is "ssdlite_mobilenet_v2_egohands"? HOT 1
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