1 问题
在使用labelme进行批量标注的时候出现如下错误:
module 'labelme.utils' has no attribute 'label_colormap'
或者:
module 'labelme.utils' has no attribute 'draw_label'
2 产生的原因以及解决方法
出现以上的两个问题中的一个或者两个,其都是因为安装的labelme缺少了一个draw.py文件,可以到你的anaconda路径下的 \envs\你的虚拟环境的名字\Lib\site-packages\labelme\utils 目录下查看是否缺失了draw.py文件:
如果缺失了这个文件,说明就是由于缺失这个文件导致缺失了这个模块。可以这样做:
① 可以在这个目录下创建draw.py文件,然后复制下面的代码进去。
import io
import numpy as np
import PIL.Image
import PIL.ImageDraw
def label_colormap(N=256):
def bitget(byteval, idx):
return ((byteval & (1 << idx)) != 0)
cmap = np.zeros((N, 3))
for i in range(0, N):
id = i
r, g, b = 0, 0, 0
for j in range(0, 8):
r = np.bitwise_or(r, (bitget(id, 0) << 7 - j))
g = np.bitwise_or(g, (bitget(id, 1) << 7 - j))
b = np.bitwise_or(b, (bitget(id, 2) << 7 - j))
id = (id >> 3)
cmap[i, 0] = r
cmap[i, 1] = g
cmap[i, 2] = b
cmap = cmap.astype(np.float32) / 255
return cmap
# similar function as skimage.color.label2rgb
def label2rgb(lbl, img=None, n_labels=None, alpha=0.5, thresh_suppress=0):
if n_labels is None:
n_labels = len(np.unique(lbl))
cmap = label_colormap(n_labels)
cmap = (cmap * 255).astype(np.uint8)
lbl_viz = cmap[lbl]
lbl_viz[lbl == -1] = (0, 0, 0) # unlabeled
if img is not None:
img_gray = PIL.Image.fromarray(img).convert('LA')
img_gray = np.asarray(img_gray.convert('RGB'))
# img_gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
# img_gray = cv2.cvtColor(img_gray, cv2.COLOR_GRAY2RGB)
lbl_viz = alpha * lbl_viz + (1 - alpha) * img_gray
lbl_viz = lbl_viz.astype(np.uint8)
return lbl_viz
def draw_label(label, img=None, label_names=None, colormap=None):
import matplotlib.pyplot as plt
backend_org = plt.rcParams['backend']
plt.switch_backend('agg')
plt.subplots_adjust(left=0, right=1, top=1, bottom=0,
wspace=0, hspace=0)
plt.margins(0, 0)
plt.gca().xaxis.set_major_locator(plt.NullLocator())
plt.gca().yaxis.set_major_locator(plt.NullLocator())
if label_names is None:
label_names = [str(l) for l in range(label.max() + 1)]
if colormap is None:
colormap = label_colormap(len(label_names))
label_viz = label2rgb(label, img, n_labels=len(label_names))
plt.imshow(label_viz)
plt.axis('off')
plt_handlers = []
plt_titles = []
for label_value, label_name in enumerate(label_names):
if label_value not in label:
continue
if label_name.startswith('_'):
continue
fc = colormap[label_value]
p = plt.Rectangle((0, 0), 1, 1, fc=fc)
plt_handlers.append(p)
plt_titles.append('{value}: {name}'
.format(value=label_value, name=label_name))
plt.legend(plt_handlers, plt_titles, loc='lower right', framealpha=.5)
f = io.BytesIO()
plt.savefig(f, bbox_inches='tight', pad_inches=0)
plt.cla()
plt.close()
plt.switch_backend(backend_org)
out_size = (label_viz.shape[1], label_viz.shape[0])
out = PIL.Image.open(f).resize(out_size, PIL.Image.BILINEAR).convert('RGB')
out = np.asarray(out)
return out
② 因为复制进去以后还需要导入模块才行,所以打开同目录的__init__.py文件,在文件后面将模块添加进去:
from .draw import label_colormap
from .draw import label2rgb
from .draw import draw_label
③ 保存,OK。
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