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()

Multihuntr

# 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):