Comments (4)
I specifically installed libedgetpu1-std_16.0tf2.13.1-2.ubuntu22.04_arm64.deb form the link above, as it is the standard runtime and it is specific for the OS that is running on my pi4, I also installed python 3.11 specific wheel from https://pypi.org/project/tensorflow/2.12.0/#files.
After that I just ran the command for TFLite_detection_webcam.py and it ran with no issues.
from tensorflow-lite-object-detection-on-android-and-raspberry-pi.
Hey, I get the same error did you find any fix for it?
from tensorflow-lite-object-detection-on-android-and-raspberry-pi.
Resolved this issue, I just installed the Edge TPU runtime library from https://github.com/feranick/libedgetpu/releases/tag/v16.0TF2.13.1-2 for the correct version of my RaspberryPi OS and it resolved the issue.
from tensorflow-lite-object-detection-on-android-and-raspberry-pi.
Resolved this issue, I just installed the Edge TPU runtime library from https://github.com/feranick/libedgetpu/releases/tag/v16.0TF2.13.1-2 for the correct version of my RaspberryPi OS and it resolved the issue.
Could you tell me more specific?
libedgetpu-dev_16.0tf2.13.1-2.bookworm_arm64.deb
I download above file in my rapsberry pi, and sudo dpkg -i
the package.
I ran python3 TFLite_detection_webcam.py --modeldir=Sample_TFLite_model --edgetpu
I still get the same error message.
Do you have any link that how to solve this problem?
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Related Issues (20)
- Empty .tfrecord files HOT 1
- Sense about input tensor different to output tensor
- NMS Function
- What can i do when i havent the labelmap.txt ?
- The part with step 2 b option 2 run your own custom models on the edge tpu is not working
- Using a different optimizer in pipeline config file
- Error in step 7.1 - Inference test images HOT 2
- ModuleNotFoundError: No module named 'object_detection' HOT 7
- actually it is not new issue , it is specific question on object detection .
- ImportError: libopenblas.so.0: cannot open shared object file: No such file or directory HOT 1
- Not able to change model to EfficientDet-D1 or D2 HOT 1
- Timeout HOT 1
- Unable to locate package qt4-dev-tools HOT 1
- Getting list index out of range error when fetching boxes from model HOT 3
- images/val folder not found HOT 2
- efficientdet-d0 training print nan after few steps HOT 1
- Got my model, and deployed it and it won't detect anything. mAP score says otherwise.
- Node: 'ssd_mobile_net_v2_keras_feature_extractor/model/Conv1/Conv2D' DNN library is not found.
- implementation the model to jetson nano
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