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frank921 / gist:aa182c9887c04b4fb4d408910299c184

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1	(segmentation) PS H:\workspaces\segmentation_api> python main.py --image tests/images/cat_3.jpg
2	preprocessor_config.json: 100%\|███████████████████████████████████████████████████████████████\| 406/406 [00:00<?, ?B/s]
3	C:\Users\junyu\anaconda3\envs\segmentation\lib\site-packages\huggingface_hub\file_download.py:143: UserWarning: `huggingface_hub` cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in C:\Users\junyu\.cache\huggingface\hub\models--google--deeplabv3_mobilenet_v2_1.0_513. Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the `HF_HUB_DISABLE_SYMLINKS_WARNING` environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations.
4	To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development
5	warnings.warn(message)
6	Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.
7	config.json: 1.38kB [00:00, ?B/s]
8	pytorch_model.bin: 100%\|██████████████████████████████████████████████████████████\| 10.4M/10.4M [00:00<00:00, 15.8MB/s]
9	2025-10-22 14:25:33,617 - models.huggingface_sementic_segmentation_model - INFO - Loading google/deeplabv3_mobilenet_v2_1.0_513 ...
10	2025-10-22 14:25:33,810 - models.huggingface_sementic_segmentation_model - INFO - google/deeplabv3_mobilenet_v2_1.0_513 model loaded successfully!

frank921 / sum.cpp

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1	#include <algorithm>
2	#include <iostream>
3	#include <chrono>
4	#include <math.h>
5
6	//------------------------------------------------
7
8	double Sum(double* arr, size_t N) {
9	double result = 0.;
10	for (size_t i = 0; i < N; ++i) {

frank921 / test

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1	This is a test gist to test the gist server. This is a plain text.

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