clean_str() function addition (#1674)

* clean_str() function addition

* cleanup

* add euro symbol €

* add closing exclamation (spanish)

* cleanup
This commit is contained in:
Glenn Jocher authored and GitHub committed 2020-12-17 17:20:20 -08:00
1 parent 7e161d9774
commit d5289b54c4
3 files changed
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+2 -2
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@@ -19,7 +19,7 @@ from PIL import Image, ExifTags
from torch.utils.data import Dataset
from tqdm import tqdm
from utils.general import xyxy2xywh, xywh2xyxy
from utils.general import xyxy2xywh, xywh2xyxy, clean_str
from utils.torch_utils import torch_distributed_zero_first
# Parameters
@@ -267,7 +267,7 @@ class LoadStreams: # multiple IP or RTSP cameras
n = len(sources)
self.imgs = [None] * n
self.sources = sources
self.sources = [clean_str(x) for x in sources] # clean source names for later
for i, s in enumerate(sources):
# Start the thread to read frames from the video stream
print('%g/%g: %s... ' % (i + 1, n, s), end='')
+6 -1
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@@ -2,6 +2,7 @@
import glob
import logging
import math
import os
import platform
import random
@@ -11,7 +12,6 @@ import time
from pathlib import Path
import cv2
import math
import numpy as np
import torch
import torchvision
@@ -97,6 +97,11 @@ def make_divisible(x, divisor):
return math.ceil(x / divisor) * divisor
def clean_str(s):
# Cleans a string by replacing special characters with underscore _
return re.sub(pattern="[|@#!¡·$€%&()=?¿^*;:,¨´><+]", repl="_", string=s)
def labels_to_class_weights(labels, nc=80):
# Get class weights (inverse frequency) from training labels
if labels[0] is None: # no labels loaded