Python如何实现sg2im文字转图像
小编给大家分享一下Python如何实现sg2im文字转图像，希望大家阅读完这篇文章之后都有所收获，下面让我们一起去探讨吧！
1.从github上下载源码
!git clone https://github.com/google/sg2im.git
Cloning into 'sg2im'...
remote: Enumerating objects: 85, done.[K
remote: Total 85 (delta 0), reused 0 (delta 0), pack-reused 85[K
Unpacking objects: 100% (85/85), done.
! cp -r sg2im/sg2im sg2im/scripts/
!pip install -r sg2im/requirements.txt
Collecting cloudpickle==0.5.3
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Requirement already satisfied: cycler==0.10.0 in /usr/local/lib/python3.6/dist-packages (from -r sg2im/requirements.txt (line 2)) (0.10.0)
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[?25hRequirement already satisfied: setuptools in /usr/local/lib/python3.6/dist-packages (from kiwisolver==1.0.1->-r sg2im/requirements.txt (line 8)) (47.1.1)
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Installing collected packages: cloudpickle, Cython, dask, decorator, six, numpy, h6py, Pillow, imageio, kiwisolver, python-dateutil, pytz, pyparsing, matplotlib, networkx, PyWavelets, scipy, scikit-image, toolz, torch, torchvision
Found existing installation: cloudpickle 1.3.0
Uninstalling cloudpickle-1.3.0:
Successfully uninstalled cloudpickle-1.3.0
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Uninstalling torchvision-0.6.0+cu101:
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Successfully installed Cython-0.28.3 Pillow-5.1.0 PyWavelets-0.5.2 cloudpickle-0.5.3 dask-0.17.5 decorator-4.3.0 h6py-2.8.0 imageio-2.3.0 kiwisolver-1.0.1 matplotlib-2.2.2 networkx-2.1 numpy-1.14.4 pyparsing-2.2.0 python-dateutil-2.7.3 pytz-2018.4 scikit-image-0.14.0 scipy-1.1.0 six-1.11.0 toolz-0.9.0 torch-0.4.0 torchvision-0.2.1
!bash sg2im/scripts/download_models.sh
--2020-06-05 08:11:22-- https://storage.googleapis.com/sg2im-data/small/coco64.pt
Resolving storage.googleapis.com (storage.googleapis.com)... 173.194.79.128, 2a00:1450:4013:c05::80
Connecting to storage.googleapis.com (storage.googleapis.com)|173.194.79.128|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 119806264 (114M) [application/octet-stream]
Saving to: 'sg2im-models/coco64.pt'sg2im-models/coco64 100%[===================>] 114.26M 38.5MB/s in 3.0s
2020-06-05 08:11:25 (38.5 MB/s) - 'sg2im-models/coco64.pt' saved [119806264/119806264]
--2020-06-05 08:11:25-- https://storage.googleapis.com/sg2im-data/small/vg64.pt
Resolving storage.googleapis.com (storage.googleapis.com)... 108.177.119.128, 2a00:1450:4013:c00::80
Connecting to storage.googleapis.com (storage.googleapis.com)|108.177.119.128|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 119873465 (114M) [application/octet-stream]
Saving to: 'sg2im-models/vg64.pt'sg2im-models/vg64.p 100%[===================>] 114.32M 44.0MB/s in 2.6s
2020-06-05 08:11:29 (44.0 MB/s) - 'sg2im-models/vg64.pt' saved [119873465/119873465]
--2020-06-05 08:11:29-- https://storage.googleapis.com/sg2im-data/small/vg128.pt
Resolving storage.googleapis.com (storage.googleapis.com)... 74.125.128.128, 2a00:1450:4013:c02::80
Connecting to storage.googleapis.com (storage.googleapis.com)|74.125.128.128|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 129319241 (123M) [application/octet-stream]
Saving to: 'sg2im-models/vg128.pt'sg2im-models/vg128. 100%[===================>] 123.33M 54.2MB/s in 2.3s
2020-06-05 08:11:32 (54.2 MB/s) - 'sg2im-models/vg128.pt' saved [129319241/129319241]
2.训练与结果展示
!python3 sg2im/scripts/run_model.py --checkpoint sg2im-models/vg128.pt --scene_graphs sg2im/scene_graphs/figure_6_sheep.json --output_dir outputs
import matplotlib.pyplot as pltimport cv2%matplotlib inlineimg0 = cv2.imread("outputs/img000000.png")img1 = cv2.imread("outputs/img000001.png")img2 = cv2.imread("outputs/img000002.png")img3 = cv2.imread("outputs/img000003.png")img4 = cv2.imread("outputs/img000004.png")img5 = cv2.imread("outputs/img000005.png")img6 = cv2.imread("outputs/img000006.png")plt.figure()plt.subplot(3,3,1)plt.imshow(img0)plt.subplot(3,3,2)plt.imshow(img1)plt.subplot(3,3,3)plt.imshow(img2)plt.subplot(3,3,4)plt.imshow(img3)plt.subplot(3,3,5)plt.imshow(img4)plt.subplot(3,3,6)plt.imshow(img5)plt.subplot(3,3,7)plt.imshow(img6)
!python3 sg2im/scripts/run_model.py --checkpoint sg2im-models/vg128.pt --scene_graphs sg2im/scene_graphs/figure_6_street.json --output_dir outputs
import matplotlib.pyplot as pltimport cv2%matplotlib inlineimg0 = cv2.imread("outputs/img000000.png")img1 = cv2.imread("outputs/img000001.png")img2 = cv2.imread("outputs/img000002.png")img3 = cv2.imread("outputs/img000003.png")img4 = cv2.imread("outputs/img000004.png")img5 = cv2.imread("outputs/img000005.png")img6 = cv2.imread("outputs/img000006.png")plt.figure()plt.subplot(3,3,1)plt.imshow(img0)plt.subplot(3,3,2)plt.imshow(img1)plt.subplot(3,3,3)plt.imshow(img2)plt.subplot(3,3,4)plt.imshow(img3)plt.subplot(3,3,5)plt.imshow(img4)plt.subplot(3,3,6)plt.imshow(img5)plt.subplot(3,3,7)plt.imshow(img6)!python3 sg2im/scripts/run_model.py --checkpoint sg2im-models/vg128.pt --scene_graphs sg2im/scene_graphs/figure_5_vg.json --output_dir outputs
import matplotlib.pyplot as pltimport cv2%matplotlib inlineimg0 = cv2.imread("outputs/img000000.png")img1 = cv2.imread("outputs/img000001.png")img2 = cv2.imread("outputs/img000002.png")img3 = cv2.imread("outputs/img000003.png")img4 = cv2.imread("outputs/img000004.png")img5 = cv2.imread("outputs/img000005.png")img6 = cv2.imread("outputs/img000006.png")img7 = cv2.imread("outputs/img000007.png")plt.figure()plt.subplot(3,3,1)plt.imshow(img0)plt.subplot(3,3,2)plt.imshow(img1)plt.subplot(3,3,3)plt.imshow(img2)plt.subplot(3,3,4)plt.imshow(img3)plt.subplot(3,3,5)plt.imshow(img4)plt.subplot(3,3,6)plt.imshow(img5)plt.subplot(3,3,7)plt.imshow(img6)plt.subplot(3,3,8)plt.imshow(img7)看完了这篇文章，相信你对"Python如何实现sg2im文字转图像"有了一定的了解，如果想了解更多相关知识，欢迎关注行业资讯频道，感谢各位的阅读！
