No autocomplete with YOLO results

[Ayad0net]

Type: Bug

Behaviour

model = YOLO('yolov8n.pt') # load an official model
results = model.predict(source="aa.png")

results[0].
^
|
here the vscode not complete

Steps to reproduce:

1. remove the python extension and reinstall it.
2. remove vscode and reinstall it
3. remove the YOLO package and reinstall it

Diagnostic data

Output for Python in the Output panel (View→Output, change the drop-down the upper-right of the Output panel to Python)

XXX

Extension version: 2024.7.11301009
VS Code version: Code 1.89.1 (Universal) (dc96b837cf6bb4af9cd736aa3af08cf8279f7685, 2024-05-07T05:14:24.611Z)
OS version: Darwin x64 23.4.0
Modes:

• Python version (& distribution if applicable, e.g. Anaconda): 3.9.6
• Type of virtual environment used (e.g. conda, venv, virtualenv, etc.): Global
• Value of the python.languageServer setting: Default

User Settings

languageServer: "Pylance"

Installed Extensions

Extension Name	Extension Id	Version
IntelliCode Completions	VisualStudioExptTeam.vscodeintellicode-completions	2.0.0
JavaScript Debugger	ms-vscode.js-debug	1.89.0
JavaScript Debugger Companion Extension	ms-vscode.js-debug-companion	1.1.2
Jupyter	ms-toolsai.jupyter	2024.4.0
Jupyter Cell Tags	ms-toolsai.vscode-jupyter-cell-tags	0.1.9
Jupyter Keymap	ms-toolsai.jupyter-keymap	1.1.2
Jupyter Notebook Renderers	ms-toolsai.jupyter-renderers	1.0.17
Jupyter Slide Show	ms-toolsai.vscode-jupyter-slideshow	0.1.6
Pylance	ms-python.vscode-pylance	2024.5.1
Python	ms-python.python	2024.7.11301009
Python Debugger	ms-python.debugpy	2024.6.0
Table Visualizer for JavaScript Profiles	ms-vscode.vscode-js-profile-table	1.0.9

System Info

Item	Value
CPUs	Intel(R) Core(TM) i9-8950HK CPU @ 2.90GHz (12 x 2900)
GPU Status	2d_canvas: enabled canvas_oop_rasterization: disabled_off direct_rendering_display_compositor: disabled_off_ok gpu_compositing: enabled multiple_raster_threads: enabled_on opengl: enabled_on rasterization: enabled raw_draw: disabled_off_ok skia_graphite: disabled_off video_decode: enabled video_encode: enabled webgl: enabled webgl2: enabled webgpu: enabled
Load (avg)	3, 2, 3
Memory (System)	16.00GB (0.43GB free)
Process Argv	--crash-reporter-id ecf8630d-a12f-4c5d-9e49-7def7ee35edf
Screen Reader	no
VM	0%

A/B Experiments

vsliv368cf:30146710
vspor879:30202332
vspor708:30202333
vspor363:30204092
tftest:31042121
vscorecescf:30445987
vscod805cf:30301675
binariesv615:30325510
vsaa593:30376534
py29gd2263:31024239
c4g48928:30535728
azure-dev_surveyone:30548225
a9j8j154:30646983
962ge761:30959799
pythongtdpath:30769146
welcomedialog:30910333
pythonidxpt:30866567
pythonnoceb:30805159
asynctok:30898717
pythontestfixt:30902429
pythonregdiag2:30936856
pyreplss1:30897532
pythonmypyd1:30879173
pythoncet0:30885854
h48ei257:31000450
pythontbext0:30879054
accentitlementsc:30995553
dsvsc016:30899300
dsvsc017:30899301
dsvsc018:30899302
cppperfnew:31000557
dsvsc020:30976470
pythonait:31006305
dsvsc021:30996838
jg8ic977:31013176
dwnewjupytercf:31039676

[heejaechang]

unfortunately, it is not something static analysis tool can figure out. all we know is the predict return list.

that said, this is doc string

Returns:
            (List[ultralytics.engine.results.Results]): A list of prediction results, encapsulated in the Results class.

so, you could ask ultralytics maintainer to change -> list to -> list[Results] so at least basic LS works.

or you could change your code to

results: list[Results] = model.predict ...

[Ayad0net]

@heejaechang Thanks