def initTexture(self):
data = np.load(self.texture_file)
data = rescale_data_to_image(data)
w, h = data.shape
# generate a texture id, make it current
self.texture = gl.glGenTextures(1)
gl.glBindTexture(gl.GL_TEXTURE_2D, self.texture)
# texture mode and parameters controlling wrapping and scaling
gl.glTexEnvf(gl.GL_TEXTURE_ENV, gl.GL_TEXTURE_ENV_MODE, gl.GL_MODULATE)
gl.glTexParameterf(gl.GL_TEXTURE_2D, gl.GL_TEXTURE_WRAP_S, gl.GL_REPEAT)
gl.glTexParameterf(gl.GL_TEXTURE_2D, gl.GL_TEXTURE_WRAP_T, gl.GL_REPEAT)
gl.glTexParameterf(gl.GL_TEXTURE_2D, gl.GL_TEXTURE_MAG_FILTER, gl.GL_LINEAR)
gl.glTexParameterf(gl.GL_TEXTURE_2D, gl.GL_TEXTURE_MIN_FILTER, gl.GL_LINEAR)
# map the image data to the texture. note that if the input
# type is GL_FLOAT, the values must be in the range [0..1]
gl.glTexImage2D(gl.GL_TEXTURE_2D, 0, gl.GL_RGB, w, h, 0,
gl.GL_LUMINANCE, gl.GL_UNSIGNED_BYTE, data)
__author__ = 'mavinm'
__date__ = '3/21/14'
if __name__ == "__main__":
filenames = {
"tmp/bc_data_gaussian_sigma=0.001.bin": "report/bc_gaussian-0.001.png",
"tmp/bc_data_gaussian_sigma=0.002.bin": "report/bc_gaussian-0.002.png",
"tmp/bc_data_gaussian_sigma=0.003.bin": "report/bc_gaussian-0.003.png",
"tmp/bc_data_gaussian_sigma=0.004.bin": "report/bc_gaussian-0.004.png",
"tmp/gc_data_gaussian_sigma=0.001.bin": "report/gc_gaussian-0.001.png",
"tmp/gc_data_gaussian_sigma=0.002.bin": "report/gc_gaussian-0.002.png",
"tmp/gc_data_gaussian_sigma=0.003.bin": "report/gc_gaussian-0.003.png",
"tmp/gc_data_gaussian_sigma=0.004.bin": "report/gc_gaussian-0.004.png",
"tmp/mea_lea_data_gaussian_sigma=0.001.bin": "report/mea_lea_gaussian-0.001.png",
"tmp/mea_lea_data_gaussian_sigma=0.002.bin": "report/mea_lea_gaussian-0.002.png",
"tmp/mea_lea_data_gaussian_sigma=0.003.bin": "report/mea_lea_gaussian-0.003.png",
"tmp/mea_lea_data_gaussian_sigma=0.004.bin": "report/mea_lea_gaussian-0.004.png",
}
for fn, out in filenames.iteritems():
data = np.load(fn)
sigma = fn.split("=")[1].rstrip(".bin")
print sigma
rescaled = rescale_data_to_image(data)
im = Image.fromarray(rescaled)
im.save(out)