"NotImplementedError" error in get 'application_id' of Seeme f

fastai
1

Hi friends, I would like to know why “NotImplementedError” happened when I was trying to get application_id in Seeme.ai. thank you.

application_id
application_id1665×533 46 KB

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1 Like
2

Hi Zhang,

I’m Jan, the maker of SeeMe.ai.

We are currently not supporting fast.ai 2.1.9 because of limited usage.

Here are all the (currently) supported applications with the respective framework versions:

0: application: structured - base_framework: pytorch (1.10.0) - framework: fastai (2.5.3)
1: application: text_classification - base_framework: pytorch (1.10.0) - framework: fastai (2.5.3)
2: application: language_model - base_framework: pytorch (1.10.0) - framework: fastai (2.5.3)
3: application: image_classification - base_framework: pytorch (1.9.0) - framework: fastai (2.5.3)
4: application: image_classification - base_framework: pytorch (1.10.0) - framework: fastai (2.5.3)
5: application: image_classification - base_framework: pytorch (1.9.0) - framework: fastai (2.5.2)
6: application: image_classification - base_framework: pytorch (1.9.0) - framework: fastai (2.5.1)
7: application: image_classification - base_framework: pytorch (1.9.0) - framework: fastai (2.5.0)
8: application: text_classification - base_framework: pytorch (1.9.0) - framework: fastai (2.4.1)
9: application: image_classification - base_framework: pytorch (1.9.0) - framework: fastai (2.4.1)
10: application: image_classification - base_framework: pytorch (1.9.0) - framework: fastai (2.4)
11: application: image_classification - base_framework: pytorch (1.8.1) - framework: fastai (2.3.1)
12: application: image_classification - base_framework: pytorch (1.7.1) - framework: fastai (2.3.0)
13: application: object_detection - base_framework: yolo (v4) - framework:  ()
14: application: image_classification - base_framework: pytorch (1.7.1) - framework: fastai (2.2.7)
15: application: image_classification - base_framework: pytorch (1.7.0) - framework: fastai (2.2.5)
16: application: image_classification - base_framework: pytorch (1.7.0) - framework: fastai (2.1.10)
17: application: image_classification - base_framework: pytorch (1.7.0) - framework: fastai (2.1.8)
18: application: image_classification - base_framework: pytorch (1.7.0) - framework: fastai (2.1.7)
19: application: image_classification - base_framework: pytorch (1.7.0) - framework: fastai (2.1.5)
20: application: image_classification - base_framework: pytorch (1.7.0) - framework: fastai (2.1.4)
21: application: image_classification - base_framework: pytorch (1.6.0) - framework: fastai (2.0.16)
22: application: image_classification - base_framework: pytorch (1.6.0) - framework: fastai (2.0.15)
23: application: image_classification - base_framework: pytorch (1.6.0) - framework: fastai (2.0.13)
24: application: image_classification - base_framework: pytorch (1.6.0) - framework: fastai (2.0.11)
25: application: image_classification - base_framework: pytorch (1.6.0) - framework: fastai (2.0.10)
26: application: image_classification - base_framework: pytorch (1.6.0) - framework: fastai (2.0.9)
27: application: image_classification - base_framework: pytorch (1.6.0) - framework: fastai (2.0.0)
28: application: image_classification - base_framework: pytorch (1.5.1) - framework: fastai (1.0.61)
29: application: image_classification - base_framework: pytorch (1.4.0) - framework: fastai (1.0.61)
30: application: image_classification - base_framework: pytorch (1.5.0) - framework: fastai (1.0.61)

Are you able to upgrade/change to any of these?

Always happy to help, so just send me a message… :slight_smile:

(I’ll be adding 2.5.6 support this week)

Below you find the code to print all the applications at any time.

from seeme import Client

cl = Client()

username = ""
password = ""

cl.login(username, password)

apps = cl.get_applications()

count = 0
for a in apps:
    app_label = f"{count}: application: {a['application']} - base_framework: {a['base_framework']} ({a['base_framework_version']}) - framework: {a['framework']} ({a['framework_version']})"
    print(app_label)
    count += 1
3

Hi, Jan.

Thank you very much for your help.

i am waiting for your adding of 2.5.6 support.

4

Hi Zhang,

I’ve added support for fast.ai v2.5.6 for both PyTorch 1.10.0 and 1.11.0.

Let me know if that works for you. If you have any questions, I’d be happy to help.

Looking forward to your feedback!

PS: The iOS and Android app will be updated in the next few weeks.

5

Hi Jan.
it works now.
thank you very much.

1 Like
6

Feel free to reach out if you need any help…