Multihuntr

# BIG NOTE: 
# I made this becuase I thought the method was interesting. It's not useful in it's current form. 
# If you can, use an index instead. https://stackoverflow.com/a/27895337

from sqlalchemy import Column, Integer, Float, ForeignKey, event, DDL
from sqlalchemy.schema import CreateSchema
from sqlalchemy.dialects.postgresql import DOUBLE_PRECISION
from sqlalchemy.ext.declarative import declarative_base, declared_attr

Base = declarative_base()

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# Reimplementation of: https://github.com/aladdinpersson/Machine-Learning-Collection/blob/master/ML/Pytorch/object_detection/metrics/mean_avg_precision.py
# Now with more vectorisation!

def precision_recall_curve_th(is_tp, confs, n_true, eps=1e-8):
    # Sort by confs
    order = (-confs).argsort()
    is_tp = is_tp[order]
    confs = confs[order]

    # Cumulative sum true positives and number of predictions

Multihuntr

# Utility functions for managing 3x3 matrices for cv2.warpAffine in pure numpy

import numpy as np


def identity():
    return np.eye(3, dtype=np.float64)


def affine(A=None, t=None):

Multihuntr

name: sb3
channels:
    - pytorch
    - nvidia
    - conda-forge
dependencies:
    - diffusers
    - transformers
    - pytorch
    - torchvision

Multihuntr

What is it?

It's for repetitive tasks that are too small to be bothered writing a macro script into something like AutoHotKey, but annoying and repetitive enough that you want some automation.

It allows you to record some keypresses, and then replay those keypresses, using keyboard shortcuts. It's like the clipboard, but for keypresses instead of text. Recordings do not persist across restarts/logins, and are overwritten when you record a new macro. (Does not actually interact with the clipboard at all)

Setup

1. Add keyboard shortcuts to trigger the record.py and replay.py scripts. They work globally on the OS. I use ctrl+super+e for record and super+e for replay.
2. Install keyboard python library.