add yapf style and apply yapf to format all Python files
This recreates pull request #2192
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@@ -15,27 +15,27 @@ plt.ion()
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img = np.random.rand(200, 320)
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#img = [tandard_normal((50,100))
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image = plt.imshow(img,interpolation='none',animated=True,label="blah")
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image = plt.imshow(img, interpolation='none', animated=True, label="blah")
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ax = plt.gca()
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pybullet.connect(pybullet.DIRECT)
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egl = pkgutil.get_loader('eglRenderer')
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if (egl):
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pybullet.loadPlugin(egl.get_filename(), "_eglRendererPlugin")
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pybullet.loadPlugin(egl.get_filename(), "_eglRendererPlugin")
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else:
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pybullet.loadPlugin("eglRendererPlugin")
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pybullet.loadURDF("plane.urdf",[0,0,-1])
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pybullet.loadPlugin("eglRendererPlugin")
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pybullet.loadURDF("plane.urdf", [0, 0, -1])
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pybullet.loadURDF("r2d2.urdf")
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camTargetPos = [0,0,0]
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cameraUp = [0,0,1]
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cameraPos = [1,1,1]
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pybullet.setGravity(0,0,-10)
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camTargetPos = [0, 0, 0]
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cameraUp = [0, 0, 1]
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cameraPos = [1, 1, 1]
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pybullet.setGravity(0, 0, -10)
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pitch = -10.0
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roll=0
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roll = 0
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upAxisIndex = 2
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camDistance = 4
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pixelWidth = 320
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@@ -47,30 +47,37 @@ fov = 60
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main_start = time.time()
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while (1):
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for yaw in range (0,360,10):
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for yaw in range(0, 360, 10):
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pybullet.stepSimulation()
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start = time.time()
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viewMatrix = pybullet.computeViewMatrixFromYawPitchRoll(camTargetPos, camDistance, yaw, pitch, roll, upAxisIndex)
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aspect = pixelWidth / pixelHeight;
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projectionMatrix = pybullet.computeProjectionMatrixFOV(fov, aspect, nearPlane, farPlane);
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img_arr = pybullet.getCameraImage(pixelWidth, pixelHeight, viewMatrix,projectionMatrix, shadow=1,lightDirection=[1,1,1],renderer=pybullet.ER_BULLET_HARDWARE_OPENGL)
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viewMatrix = pybullet.computeViewMatrixFromYawPitchRoll(camTargetPos, camDistance, yaw, pitch,
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roll, upAxisIndex)
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aspect = pixelWidth / pixelHeight
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projectionMatrix = pybullet.computeProjectionMatrixFOV(fov, aspect, nearPlane, farPlane)
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img_arr = pybullet.getCameraImage(pixelWidth,
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pixelHeight,
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viewMatrix,
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projectionMatrix,
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shadow=1,
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lightDirection=[1, 1, 1],
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renderer=pybullet.ER_BULLET_HARDWARE_OPENGL)
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stop = time.time()
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print ("renderImage %f" % (stop - start))
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print("renderImage %f" % (stop - start))
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w=img_arr[0] #width of the image, in pixels
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h=img_arr[1] #height of the image, in pixels
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rgb=img_arr[2] #color data RGB
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dep=img_arr[3] #depth data
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w = img_arr[0] #width of the image, in pixels
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h = img_arr[1] #height of the image, in pixels
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rgb = img_arr[2] #color data RGB
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dep = img_arr[3] #depth data
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print ('width = %d height = %d' % (w,h))
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print('width = %d height = %d' % (w, h))
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#note that sending the data to matplotlib is really slow
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#reshape is not needed
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np_img_arr = np.reshape(rgb, (h, w, 4))
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np_img_arr = np_img_arr*(1./255.)
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np_img_arr = np_img_arr * (1. / 255.)
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#show
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#plt.imshow(np_img_arr,interpolation='none',extent=(0,1600,0,1200))
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#image = plt.imshow(np_img_arr,interpolation='none',animated=True,label="blah")
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@@ -81,10 +88,9 @@ while (1):
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#plt.show()
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plt.pause(0.01)
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#image.draw()
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main_stop = time.time()
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print ("Total time %f" % (main_stop - main_start))
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print("Total time %f" % (main_stop - main_start))
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pybullet.resetSimulation()
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