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ultralytics 8.0.52 reduced TAL CUDA usage and AMP check fix (#1333)

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Glenn Jocher 2023-03-10 03:27:06 +01:00 • committed by GitHub
parent 790f9c067c
commit 177a68b39f
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21 changed files with 132 additions and 147 deletions
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ultralytics/nn/autoshape.py
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@ -8,7 +8,6 @@ from pathlib import Path
import cv2
import numpy as np
import pandas as pd
import requests
import torch
import torch.nn as nn
@ -204,12 +203,13 @@ class Detections:
def pandas(self):
# return detections as pandas DataFrames, i.e. print(results.pandas().xyxy[0])
import pandas
new = copy(self) # return copy
ca = 'xmin', 'ymin', 'xmax', 'ymax', 'confidence', 'class', 'name' # xyxy columns
cb = 'xcenter', 'ycenter', 'width', 'height', 'confidence', 'class', 'name' # xywh columns
for k, c in zip(['xyxy', 'xyxyn', 'xywh', 'xywhn'], [ca, ca, cb, cb]):
a = [[x[:5] + [int(x[5]), self.names[int(x[5])]] for x in x.tolist()] for x in getattr(self, k)] # update
setattr(new, k, [pd.DataFrame(x, columns=c) for x in a])
setattr(new, k, [pandas.DataFrame(x, columns=c) for x in a])
return new
def tolist(self):