qubvel

import torch
from collections import OrderedDict
from typing import List

checkpoints_weights_paths: List[str] = ...  # sorted in descending order by score
model: torch.nn.Module = ...


def average_weights(state_dicts: List[dict]):
    everage_dict = OrderedDict()

caseywatts

short url: caseywatts.com/selfpublish

my book is out! an applied psychology / self-help book targeted at developers: Debugging Your Brain

---

Markdown --> PDF (as a booklet!)

Markdown --> EPUB and MOBI

myounus96

Convert PascalVOC Annotations to YOLO

This script reads PascalVOC xml files, and converts them to YOLO txt files.

Note: This script was written and tested on Ubuntu. YMMV on other OS's.

Disclaimer: This code is a modified version of Joseph Redmon's voc_label.py

Instructions:

1. Place the convert_voc_to_yolo.py file into your data folder.

ryanhanwu

# Taps
tap 'homebrew/cask-fonts'
tap 'homebrew/cask-versions'
tap 'heroku/brew' 

# Install CLI Tools
## Shell Utilities
brew 'coreutils'
brew 'findutils'
brew 'autojump'

docPhil99

The code for this tutorial is here

Opencv provides are useful, but limited, method of building a GUI. A much more complete system could be acheived using pyqt. The question is, how do we display images. There are quite a few possible routes but perhaps the easiest is to use QLabel since it has a setPixmap function. Below is some code that creates two labels. It then creates a grey pixmap and displays it one of the labels. code: staticLabel1.py

from PyQt5.QtWidgets import QWidget, QApplication, QLabel, QVBoxLayout
from PyQt5.QtGui import QPixmap, QColor
import sys

oskar456

#!/usr/bin/env python3

import subprocess
import json
import os
from pathlib import Path

import requests
from requests.compat import urljoin

wolterlw

/* 
parameter JSON
{
  "num_layers": 5,
  "min_scale": 0.1171875,
  "max_scale": 0.75,
  "input_size_height": 256,
  "input_size_width": 256,
  "anchor_offset_x": 0.5,
  "anchor_offset_y": 0.5,

corenel

Install NVDEC and NVENC as GStreamer plugins

Environment

• Ubuntu 18.04
• NVIDIA driver 460.32.03
• NVIDIA Video Codec SDK 11.0.10
• GStreamer 1.14.5

Steps

nstarke

Reversing Raw Binary Firmware Files in Ghidra

This brief tutorial will show you how to go about analyzing a raw binary firmware image in Ghidra.

Prep work in Binwalk

I was recently interested in reversing some older Cisco IOS images. Those images come in the form of a single binary blob, without any sort of ELF, Mach-o, or PE header to describe the binary.

While I am using Cisco IOS Images in this example, the same process should apply to other Raw Binary Firmware Images.

crackwitz

#!/usr/bin/env python3

'''
always getting the most recent frame of a camera
================================================

Usage:
------
    freshest_camera_frame.py