oci-labs / DeepGauge-ML-Demo

20 stars 10 forks source link

Accuracy of this project . #21

Open jiguanglu opened 4 years ago

jiguanglu commented 4 years ago

Hi: First THX for sharing this project. I Iterated 200 times,and the result is :

   **After 2000 epochs train_acc is 1.0000 and test_acc is 0.8480

      Time usage: 0:28:03**

But when I test a new image use "prediction_online.py", I got a bad result.

  ['psi_8_5']
  [0.87777895]
  psi_8_5 0.87777895 ./static/latest_streaming_frame_annotated.jpg

gauge_scale_6

Can you give me some sugesstion?

mekhod commented 4 years ago

Hi,

Thank you for your question. When we developed this model we got an accuracy of around 0.94 on the test images, so based on the message you have received you do not have the same model because your test accuracy is 0.84. I do not work at OCI (Object Computing Inc.) anymore so please ask this question from their ML team and they will answer your question.

Thanks, Mehdi Khodayari

On Wed, Nov 13, 2019 at 11:10 PM lujiguang notifications@github.com wrote:

Hi: First THX for sharing this project. I Iterated 200 times,and the result is :

**After 2000 epochs train_acc is 1.0000 and test_acc is 0.8480

  Time usage: 0:28:03**

But when I test a new image use "prediction_online.py", I got a bad result.

['psi_8_5']

[0.87777895]

psi_8_5 0.87777895 ./static/latest_streaming_frame_annotated.jpg

[image: gauge_scale_6] https://user-images.githubusercontent.com/16578290/68828226-e9e82400-06df-11ea-897b-67643307b7e9.jpg

Can you give me some sugesstion?

— You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub https://github.com/oci-labs/DeepGauge-ML-Demo/issues/21?email_source=notifications&email_token=AE26FFPQGM43AM5JF3KL77LQTTMSVA5CNFSM4JNF5K7KYY3PNVWWK3TUL52HS4DFUVEXG43VMWVGG33NNVSW45C7NFSM4HZGVVAQ, or unsubscribe https://github.com/notifications/unsubscribe-auth/AE26FFPCPQCLQ73X2O4LWK3QTTMSVANCNFSM4JNF5K7A .

jiguanglu commented 4 years ago

@mekhod THX for your replay, but I don't know how can I contact ML team?

MVG(from Germany) Jiguang Lu

MuhammadAsadJaved commented 3 years ago

@jiguanglu I think you can try this email address.

info@objectcomputing.com

I am also working on a similar problem. Have you resolved the issue or build a better solution?

I hope we can help each other.