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

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Co-authored-by: CNH5 <74132034+CNH5@users.noreply.github.com>
Co-authored-by: Huijae Lee <46982469+ZeroAct@users.noreply.github.com>
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Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
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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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5
ultralytics/yolo/utils/plotting.py
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@ -8,7 +8,6 @@ import cv2
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import torch
from PIL import Image, ImageDraw, ImageFont
from PIL import __version__ as pil_version
@ -160,6 +159,7 @@ class Annotator:
@TryExcept() # known issue https://github.com/ultralytics/yolov5/issues/5395
def plot_labels(boxes, cls, names=(), save_dir=Path('')):
import pandas as pd
import seaborn as sn
# plot dataset labels
@ -275,7 +275,7 @@ def plot_images(images,
x, y = int(w * (i // ns)), int(h * (i % ns)) # block origin
annotator.rectangle([x, y, x + w, y + h], None, (255, 255, 255), width=2) # borders
if paths:
annotator.text((x + 5, y + 5 + h), text=Path(paths[i]).name[:40], txt_color=(220, 220, 220)) # filenames
annotator.text((x + 5, y + 5), text=Path(paths[i]).name[:40], txt_color=(220, 220, 220)) # filenames
if len(cls) > 0:
idx = batch_idx == i
@ -330,6 +330,7 @@ def plot_images(images,
def plot_results(file='path/to/results.csv', dir='', segment=False):
# Plot training results.csv. Usage: from utils.plots import *; plot_results('path/to/results.csv')
import pandas as pd
save_dir = Path(file).parent if file else Path(dir)
if segment:
fig, ax = plt.subplots(2, 8, figsize=(18, 6), tight_layout=True)