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"""
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  LangGraph 단계별 학습 예제 — 기본 개념부터 심화까지
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이 파일은 위에서 아래로 읽으면 LangGraph의 핵심 개념이 순서대로 쌓이도록
설계되었습니다. 각 PART는 독립 실행 가능하며, 앞 PART의 개념 위에 다음 개념을
하나씩 얹습니다.

  PART 1. State        — 그래프가 들고 다니는 "공유 상태"

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[net]
batch=64
subdivisions=16
width=416
height=416
channels=3
momentum=0.949
decay=0.0005
angle=0
saturation = 1.5

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# source> https://github.com/yogeshgajjar/BDD100k-YOLOV3-tiny/blob/master/utils/test_val_txt.py
import pickle
import os, argparse
from os import listdir, getcwd
from os.path import join


def create_train(train_img_path):
    """
    Creates the .txt file which contains the entire path of the training image file. This file is required to be added in the 

Taehun

classes = 10
train  = train.txt
valid  = test.txt
names = bdd100k.names
backup = backup/

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car
bus
person
bike
truck
motor
train
rider
traffic sign
traffic light

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# source> https://github.com/yogeshgajjar/BDD100k-YOLOV3-tiny/blob/master/utils/label_to_txt.py
import argparse
import json
from pathlib import Path

LABEL_MAP = {
    "car": 0,
    "bus": 1,
    "person": 2,
    "bike": 3,

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From 53ed3d93263ae734ea2b09607b2769454924ad1e Mon Sep 17 00:00:00 2001
From: Taehun Kim <kth3321@gmail.com>
Date: Wed, 28 Jul 2021 13:53:33 +0900
Subject: [PATCH] Add AIMMO dataset

---
 lib/datasets/__init__.py | 11 +++---
 lib/datasets/aimmo.py    | 78 ++++++++++++++++++++++++++++++++++++++++
 2 files changed, 83 insertions(+), 6 deletions(-)
 create mode 100644 lib/datasets/aimmo.py

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CUDNN:
  BENCHMARK: true
  DETERMINISTIC: false
  ENABLED: true
GPUS: (0,1)
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 4
PRINT_FREQ: 10

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--- cocoeval.py	2021-07-13 17:17:22.000000000 +0900
+++ cocoeval_new.py	2021-07-13 17:21:29.000000000 +0900
@@ -494,6 +494,157 @@
 
     def __str__(self):
         self.summarize()
+        
+    # add for per category metric from here 
+    def summarize_per_category(self):
+        '''

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from azureml.core import Webservice, Workspace

ws = Workspace.from_config()
service_name = "custom-bbox-svc"
service = Webservice(ws, service_name)
service_info = service.serialize()

custom_models = [m_info["id"] for m_info in service_info["modelDetails"]]
print(custom_models)