文件名称：EliteBrainerous:用于 Elite Dangerous 的基于超精确神经网络的 OCR（如seeebeks EliteOCR 中所示）
文件大小：41.54MB
文件格式：ZIP
更新时间：2024-07-26 16:15:57
Python
精英脑筋急转弯 EliteOCR 是一个 Python 脚本，可对来自 Elite Dangerous 的已裁剪图像运行分割和光学字符识别 要求 Python 2.7 NumPy/Numpy-MKL OpenCV 转到 opencv/build/python/2.7 文件夹。 将 cv2.pyd 复制到 C:/Python27/lib/site-packages。 qimage2ndarray pip 安装 qimage2ndarray Scikit-Learn Python-Tesseract 仅用于在屏幕截图中定位文本。 这目前在 EliteBrainerous 中未使用，但在 EliteOCR 中使用
【文件预览】：
EliteBrainerous-master
----.gitignore(3KB)
----training_image_zips()
--------clav nn_training_images.zip(1.87MB)
--------Ranger BP nn_training_images.zip(1.14MB)
--------conehead nn_training_images.zip(2.06MB)
--------anteronoid nn_training_images.rar(423KB)
--------Decker nn_training_images.zip(1.1MB)
--------Oakshios nn_training_images.zip(211KB)
--------devilizer nn_training_images.zip(110KB)
----README.md(1KB)
----nn_scripts()
--------rbm_classifier joblib 1418157939.21.pkl_01.npy(12.21MB)
--------logistic_classifier joblib 1418261392.04.pkl(825B)
--------logistic_classifier joblib 1418261392.04.pkl_02.npy(160B)
--------rbm_classifier joblib 1418261392.06.pkl(1KB)
--------logistic_classifier joblib 1418157939.2.pkl_01.npy(160B)
--------rbm_classifier joblib 1418261392.06.pkl_09.npy(78KB)
--------rbm_classifier joblib 1418261392.06.pkl_05.npy(160B)
--------logistic_classifier joblib 1418261392.04.pkl_05.npy(125KB)
--------logistic_classifier joblib 1418261392.04.pkl_03.npy(125KB)
--------rbm_classifier joblib 1418261392.06.pkl_01.npy(12.21MB)
--------logistic_classifier joblib 1418261392.04.pkl_04.npy(120B)
--------nn_training.py(24KB)
--------rbm_classifier joblib 1418152877.57.pkl(11.86MB)
--------logistic_classifier joblib 1418157939.2.pkl(820B)
--------rbm_classifier joblib 1418261392.06.pkl_07.npy(78KB)
--------rbm_classifier joblib 1418261392.06.pkl_08.npy(120B)
--------logistic_classifier joblib 1418261392.04.pkl_01.npy(160B)
--------logistic_classifier joblib 1418157939.2.pkl_03.npy(125KB)
--------Singleton.py(1KB)
--------logistic_classifier joblib 1418152877.53.pkl(214KB)
--------rbm_classifier joblib 1418157939.21.pkl_03.npy(78KB)
--------rbm_classifier joblib 1418261392.06.pkl_02.npy(8KB)
--------logistic_classifier joblib 1418157939.2.pkl_05.npy(125KB)
--------logistic_classifier joblib 1418157939.2.pkl_02.npy(160B)
--------logistic_classifier joblib 1418157939.2.pkl_04.npy(120B)
--------rbm_classifier joblib 1418157939.21.pkl_08.npy(120B)
--------logistic_sgd.py(15KB)
--------rbm_classifier joblib 1418261392.06.pkl_06.npy(160B)
--------rbm_classifier joblib 1418157939.21.pkl_05.npy(160B)
--------rbm_classifier joblib 1418261392.06.pkl_04.npy(13KB)
--------rbm_classifier joblib 1418157939.21.pkl_06.npy(160B)
--------rbm_classifier joblib 1418157939.21.pkl_09.npy(78KB)
--------rbm_classifier joblib 1418157939.21.pkl_04.npy(13KB)
--------rbm_classifier joblib 1418157939.21.pkl_02.npy(8KB)
--------nn_imageProcessing.py(1KB)
--------ocr_test_image.png(680B)
--------rbm_classifier joblib 1418157939.21.pkl(1KB)
--------rbm_classifier joblib 1418261392.06.pkl_03.npy(78KB)
--------rbm_classifier joblib 1418157939.21.pkl_07.npy(78KB)
----.gitattributes(483B)
----tessdata()
--------small.traineddata(325KB)
--------big.traineddata(325KB)