Comments (6)
Only tflite1 is supported, I think.
Ive never tried tensorflow v2 before.
from coral_usb_ros.
I understood.
I wrote almost whole part of this repo (you can check it in commit log), and, at that time, tensorflow2 is not common.
So I wrote in tensorflow1, and all models are in tensorflow1.
If you want to use tensorflow2 model, I have no idea.
Please try by yourself first.
If there is no backward compatibility, you need to change this repo's code or hate tensorflow because of the lack of backward compatibility.
This is open source repo, and not a product.
I will help you some but I want you to help us, too.
If I need to use tensorflow2 model, I will implement, but there is no need in my lab now, so I won't do it soon.
Do not hesitate to change the code. Please open a pull request.
Do not completely expect to or rely on others' work.
Now you get a chance to learn tensorflow2.
from coral_usb_ros.
Okay thank you. So you dont know it 100%. Is there the option to ask the guy, who added the support for ssd_mobilenet_v2?
from coral_usb_ros.
Sorry, but I dont understand your question.
Mobilenet V2 is the model name, and it doesnt mean the model is for tensorflow 2
from coral_usb_ros.
Ok maybe I explain it wrong. The user: Kanazawanaoaki added: "Add ssd to bounding box sample" to the jsk_recognition package right? So this is implemented in this package, because you said it's connected?
The other point was, that the model: ssd_mobilenet_v2 is only supported by TensorFlow 1 and the newer one (I asked for) SSD MobileNet V2 FPNLite only by TensorFlow 2. The question is, if I try to run your node with a tflite model, which bases on the newer one would it be compatible or I must stick to the ssd model from TensorFlow 1 :)
from coral_usb_ros.
Yeah thank you for the detailed explanation, if I have the time I would do so, but I'm working on my bachelor degree, so for first use it should only run on TensorFlow 1 model.
Hahah I think the guys from TensorFlow do their best :D
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Related Issues (20)
- /edgetpu_object_detector/output/image is not published HOT 6
- Add some functions for own purposes HOT 5
- Run two models in one EdgeTPU USB HOT 2
- dynamic reconfigure in ROS noetic - missing import HOT 3
- catkin_make instead of catkin build failed HOT 10
- Project name in CMakeLists.txt is different from package name? HOT 3
- node publishes faster than receiving messages? HOT 4
- support pycoral
- dynamic_reconfigure goes wrong when edgetpu related nodes exist HOT 5
- support panorama images
- Support boundaries in panorama imags
- How to run demo HOT 26
- rosrun jsk_perception image_publisher.py does not work (?) HOT 1
- Tuple index out of range HOT 2
- noetic-jsk-perception failed HOT 9
- rviz support ? HOT 12
- RectArray output of panorama human pose estimator does not match PoseArray output
- catkin build hangs HOT 2
- ImportError: No module named '_edgetpu_cpp_wrapper' HOT 2
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