tasks.json과 launch.json 은 .vscode 디렉토리 하에 복사
libavcodec/h264dec.c
- h264_decode_frame ( ... ) 함수가 H264 Decoding Entrypoint로 보임
import numpy as np | |
import torch | |
import random | |
def set_random_seed(random_seed): | |
torch.manual_seed(random_seed) | |
torch.cuda.manual_seed(random_seed) | |
torch.cuda.manual_seed_all(random_seed) # if use multi-GPU |
tasks.json과 launch.json 은 .vscode 디렉토리 하에 복사
libavcodec/h264dec.c
#include <stdbool.h> | |
#include <stdlib.h> | |
#include <string.h> | |
#include <stdio.h> | |
#include <math.h> | |
typedef struct Deque | |
{ | |
int* buffer; |
#include <stdbool.h> | |
#include <stdlib.h> | |
#include <string.h> | |
#include <stdio.h> | |
#include <math.h> | |
typedef struct Queue | |
{ | |
int* buffer; |
# -*- coding: utf-8 -*- | |
""" | |
SCAN: A Structural Clustering Algorithm for Networks | |
As described in http://ualr.edu/nxyuruk/publications/kdd07.pdf | |
""" | |
from collections import deque | |
import numpy as np | |
from scipy.sparse import csr_matrix |
" ------------------------------------------------------------- | |
set enc=utf-8 | |
set fenc=utf-8 | |
set termencoding=utf-8 | |
set nocompatible | |
set autoindent | |
set smartindent |
import numpy as np | |
import cv2 | |
import sys | |
cap = cv2.VideoCapture(0) | |
face_cascade = cv2.CascadeClassifier('<PATH_TO_CASCADES_FOLDER>/haarcascade_frontalface_default.xml') | |
while(True): | |
# Capture frame-by-frame |