Comments (11)
The model is spaghettinet.
Could it be an unsupported operation or something like that?
from acap-computer-vision-sdk-examples.
Hi @sheh
We would have to investigate this issue, and it might take time.
Could you share with us a demo version of your model already trained (non with sensible data)?
from acap-computer-vision-sdk-examples.
I slightly modified object-detection-python
example to print scores.
I built the docker images then uploaded to the device and run:
./docker-compose-acap --env-file ./config/env.$ARCH.artpec8 up
get no detection:
object-detector-python_1 | Time for call to inference-server: 136 ms
object-detector-python_1 | 0 Objects found
object-detector-python_1 | Total time for image inference: 154 ms
object-detector-python_1 | Time for call to inference-server: 50 ms
object-detector-python_1 | 0 Objects found
object-detector-python_1 | Total time for image inference: 62 ms
object-detector-python_1 | Time for call to inference-server: 52 ms
object-detector-python_1 | 0 Objects found
object-detector-python_1 | Total time for image inference: 60 ms
object-detector-python_1 | Time for call to inference-server: 51 ms
object-detector-python_1 | 0 Objects found
then I just change artpec8
to cpu
and get detection:
./docker-compose-acap --env-file ./config/env.$ARCH.cpu up
object-detector-python_1 | Total time for image inference: 256 ms
object-detector-python_1 | Time for call to inference-server: 237 ms
object-detector-python_1 | 3 Objects found
object-detector-python_1 | dog 0.809
object-detector-python_1 | bicycle 0.793
object-detector-python_1 | truck 0.680
docker-compose-acap:
#!/bin/bash
set -x
set -e
TSL_ROOT=...
docker-compose --tlsverify --tlscacert=$TSL_ROOT/ca.pem \
--tlscert=$TSL_ROOT/cert.pem \
--tlskey=$TSL_ROOT/key.pem \
-H tcp://${AXIS_HOST}:2376 $@
Also I added IMAGE_PATH=dog416.png
to docker-compose.yml
(static-image.yml
looks outdated).
from acap-computer-vision-sdk-examples.
Could you try to upgrade your firmware to 10.12 and see if the problem persist?
from acap-computer-vision-sdk-examples.
I did that - the same result.
from acap-computer-vision-sdk-examples.
Any thoughts about cause of the issues and what should I check? It blocks me from release an app.
from acap-computer-vision-sdk-examples.
Hi @sheh
I've been in touch with the team that will work on this issue to have an idea of when this issue will be handled.
Unfortunately, it is a complex problem, and we don't have the resources to check your specific model soon, it will probably be pushed until later than one month from now.
Probably the easiest solution for you is to stay with the firmware 10.8 until this gets fixed.
from acap-computer-vision-sdk-examples.
Thanks! Got it.
Just a guess - could it be because of relu6 activation? There are not such activation in the model example but I have them in my model.
from acap-computer-vision-sdk-examples.
It might be, but not sure, also I don't see the relu6 on netron.
We have a similar problem with the pose estimation example that uses Movenet.
using the accelerator after FW 10.8 all the confidences printed are zeros.
from acap-computer-vision-sdk-examples.
HI @sheh
We recently released a new firmware version for our camera (11.0).
It solved some similar issues with other models, where the inference was being executed, but the output was corrupt.
I suggest you to try your model with the latest firmware, to see if it solves also your issue.
from acap-computer-vision-sdk-examples.
Hello again @sheh
I confirm that with the new firmware the problems seems to be fixed
I can detect the dog, car and truck in the image running it on the accelerator.
Feel free to open a new issue or discussion if you have further questions
from acap-computer-vision-sdk-examples.
Related Issues (20)
- run error for object-detector-python with artpec8 camera HOT 1
- Build external library and integrate with ACAP computer vision HOT 2
- Where is the container of inference-server? HOT 1
- static-image.yml not up to date
- "RUN apt-get" in Docker file gives error: "unknown instruction APT-GET" HOT 3
- Deploying YOLOv7 / any type of YOLO model (v5,v4,etc) HOT 4
- Deploying YOLOv8 to ARTPEC-8 cameras HOT 5
- Pose estimator - invalid output HOT 14
- Pose estimator with flask example: Unable to get key points on live stream to detect the pose. HOT 1
- acap_dl-models_1 | exec /bin/sh: exec format error pose-estimator_1 | exec /usr/bin/python3: exec format error HOT 2
- Error "connection reset by peer" after docker load HOT 15
- Open camera feed from from object-detector-python example HOT 5
- Unable to load custom model on firmware 11 HOT 14
- Issue while uploading docker images with no SD card support HOT 4
- latest opencv-qr-decoder-python can't work on Q3538 os 11.9.60 HOT 3
- Object detection sample mounting error: Are you trying to mount a directory onto a file (or vice-versa)? HOT 12
- Issue obtaining images from camera source using a python script HOT 3
- How to process the output of a yolov5n model HOT 5
- Accuracy difference with tflite quant8 model HOT 2
- Spike in inference time from the inference server HOT 2
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from acap-computer-vision-sdk-examples.