chenghanc’s gists

chenghanc / subtitles_moviepy_tts.py

Created September 28, 2025 01:23

Burn in captions_tts.srt (TTS)

	#!/usr/bin/env python3
	from pathlib import Path
	import asyncio, tempfile, shutil, os
	from typing import List, Tuple

	from moviepy.editor import (
	VideoFileClip, TextClip, CompositeVideoClip,
	AudioFileClip, CompositeAudioClip
	)
	import pysubs2

chenghanc / subtitles_moviepy.py

Created September 28, 2025 01:21

Burn in captions_tts.srt

	from moviepy.editor import VideoFileClip, TextClip, CompositeVideoClip
	import pysubs2

	FONT_PATH = "/usr/share/fonts/opentype/noto/NotoSansCJK-Regular.ttc" # Linux

	# FONT_PATH = "C:/Windows/Fonts/msjh.ttc" # Windows
	# FONT_PATH = "/Library/Fonts/PingFang.ttc" # macOS
	# FONT_PATH = "/System/Library/Fonts/STHeiti Light.ttc" # macOS

	video = VideoFileClip("./2-1.mp4")

chenghanc / align_from_prompt_file.py

Created September 28, 2025 01:18

Align prompt.txt and file.wav to generate captions_tts.srt

	#!/usr/bin/env python3
	# -- coding: utf-8 --

	import re
	import sys
	import json
	import argparse
	from pathlib import Path
	from typing import List, Tuple, Optional

chenghanc / compute_mAP.py

Last active July 11, 2025 06:58

PR Curve

	from pycocotools.coco import COCO
	from pycocotools.cocoeval import COCOeval
	import argparse
	import numpy as np
	import matplotlib.pyplot as plt

	def coco_eval(args):
	cocoGt = COCO(args.gt_json)
	cocoDt = cocoGt.loadRes(args.pred_json)
	cocoEval = COCOeval(cocoGt, cocoDt, args.eval_type)

chenghanc / Darknet53.py

Last active June 11, 2025 05:57

Darknet-53 in PyTorch

	# https://github.com/developer0hye/PyTorch-Darknet53

	import torch
	from torch import nn

	def conv_batch(in_num, out_num, kernel_size=3, padding=1, stride=1):
	return nn.Sequential(
	nn.Conv2d(in_num, out_num, kernel_size=kernel_size, stride=stride, padding=padding, bias=False),
	nn.BatchNorm2d(out_num),
	nn.LeakyReLU())

chenghanc / ResNet50.py

Last active June 11, 2025 03:30

ResNet-50 in PyTorch

	# https://blog.csdn.net/weixin_43397208/article/details/131352685

	import torch
	import torch.nn as nn


	class IdentityBlock(nn.Module):

	def __init__(self, in_channel, kl_size, filters):
	super(IdentityBlock, self).__init__()

chenghanc / sequential-numbers.txt

Created December 12, 2024 10:13

Renaming files in a folder to sequential numbers

	# jpg files
	a=1
	for i in *.jpg; do
	new=$(printf "%04d.jpg" "$a")
	mv -i -- "$i" "$new"
	let a="$a+1"
	done

	# xml files
	a=1

chenghanc / layers.txt

Created November 27, 2024 08:23 — forked from fabito/layers.txt

YOLO v3 Layers

	layer filters size input output
	0 conv 32 3 x 3 / 1 416 x 416 x 3 -> 416 x 416 x 32
	1 conv 64 3 x 3 / 2 416 x 416 x 32 -> 208 x 208 x 64
	2 conv 32 1 x 1 / 1 208 x 208 x 64 -> 208 x 208 x 32
	3 conv 64 3 x 3 / 1 208 x 208 x 32 -> 208 x 208 x 64
	4 Shortcut Layer: 1
	5 conv 128 3 x 3 / 2 208 x 208 x 64 -> 104 x 104 x 128
	6 conv 64 1 x 1 / 1 104 x 104 x 128 -> 104 x 104 x 64
	7 conv 128 3 x 3 / 1 104 x 104 x 64 -> 104 x 104 x 128
	8 Shortcut Layer: 5

chenghanc / comparebyNAME.py

Created November 19, 2024 03:21

Compare filenames with different extensions either jpg or txt. Delete the files of the form X.txt for which X.jpg does not exist in the directory and vice versa, X can be any.

	# In[98]:
	import os
	from os.path import splitext
	from collections import Counter

	def compare(path):
	# List containing all file names + their extension in path directory
	myDir = os.listdir(path)
	# List containing all file names without their extension
	l = [splitext(filename)[0] for filename in myDir]

chenghanc / coco-each-label.py

Last active November 4, 2024 14:26

Python script to generate 80-class folders and store the coco images and annotations for each class separately

	# In[98]:

	import pandas as pd
	import os, glob
	import sys
	import shutil
	import numpy as np
	import cv2

	# In[98]: