Question

当我使用此docker-compose.yml运行docker-compose up时。

https://github.com/rundeck/docker-zoo/blob/master/cloud/docker-compose.yml

我收到以下错误：

xxxx_mysql_1 is up-to-date
Creating xxxx_rundeck_1 ... error

ERROR: for xxxx_rundeck_1  Cannot create container for service rundeck: create .: volume name is too short, names should be at least two alphanumeric characters

ERROR: for rundeck  Cannot create container for service rundeck: create .: volume name is too short, names should be at least two alphanumeric characters
ERROR: Encountered errors while bringing up the project.

在docker-compose.yml或Dockerfile中的任何地方都没有看到create .语句。

我想念什么？

Answer 1

您需要更新env文件中的变量。它带有注释，因此为配置添加了空值。 https://github.com/rundeck/docker-zoo/blob/master/cloud/.env.dist#L3

用于

https://github.com/rundeck/docker-zoo/blob/master/cloud/docker-compose.yml#L27

我遇到了同样的问题，一旦我用值更新了环境变量，它就解决了。

Answer 2

包含import cv2 import matplotlib.pyplot as plt import numpy as np def img_show(images, cmap=None): fig = plt.figure(figsize=(17, 10)) root = 3 # len(images) ** 0.5 for i, img in enumerate(images): ax = fig.add_subplot(root, root, i + 1) ax.imshow(img, cmap=cmap[i]) plt.show() class Config: scale = 0.4 min_threshold = 120 max_threshold = 200 canny_min_threshold = 100 canny_max_threshold = 200 config = Config() def find_lines(img, rgb_img): dst = cv2.Canny(img, config.canny_min_threshold, config.canny_max_threshold) cdstP = np.copy(rgb_img) lines = cv2.HoughLinesP(dst, 1, np.pi / 180, 150, None, 0, 0) lines1 = lines[:, 0, :] for x1, y1, x2, y2 in lines1[:]: cv2.line(cdstP, (x1, y1), (x2, y2), (255, 0, 0), 5) return cdstP if __name__ == "__main__": bgr_img = cv2.imread('DJI_0009.JPG') bgr_img = cv2.resize(bgr_img, (0, 0), bgr_img, config.scale, config.scale) rgb_img = cv2.cvtColor(bgr_img, cv2.COLOR_BGR2RGB) gray_img = cv2.cvtColor(bgr_img, cv2.COLOR_BGR2GRAY) # _, threshold = cv2.threshold(gray_img, config.min_threshold, config.max_threshold, cv2.THRESH_BINARY) # laplacian = cv2.Laplacian(rgb_img, cv2.CV_8UC1) sobelx = cv2.Sobel(gray_img, cv2.CV_8UC1, 1, 0) sobely = cv2.Sobel(gray_img, cv2.CV_8UC1, 0, 1) blended = cv2.addWeighted(src1=sobelx, alpha=0.5, src2=sobely, beta=0.5, gamma=0) _, threshold = cv2.threshold(blended, config.min_threshold, config.max_threshold, cv2.THRESH_BINARY | cv2.THRESH_OTSU) p1 = find_lines(threshold, rgb_img) p2 = find_lines(blended, rgb_img) p3 = find_lines(gray_img, rgb_img) plots = [rgb_img, p1, p2, p3] cmaps = [None] + ['gray'] * (len(plots) - 1) img_show(plots, cmaps)文件时，我曾经遇到过这个问题

.env

代替

AWS_CREDENTIALS:foo

由于卷名短，无法从docker-compose创建容器

2 个答案: