skyhehe123 / SA-SSD

SA-SSD: Structure Aware Single-stage 3D Object Detection from Point Cloud (CVPR 2020)
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result problem #30

Closed MichaelSunEngineer closed 4 years ago

MichaelSunEngineer commented 4 years ago

@skyhehe123 Hi, I want to use your-greate-job(SA-SSD) to detect the point cloud, which is the data in KITTI data set. But when I use one of the point cloud data to execute test.py, I am confused about the format of the result output. In addition, how can I link the lidar to directly obtain the point cloud for detection? And what should I do for the visualization of the detection results on the point cloud and pictures? thank you. this is print of result,all score is 0.5?? len(box2d) == 125 len(box3d) == 125 len(labels) == 125 len(scores) == 125 len(alphas) == 125 anno['name'] == ['Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car', 'Car'] anno['alpha'] == [-0.8114124, -0.76817256, 0.87327915, 0.95776707, 0.9456352, -0.32573646, -0.25792053, -0.30250496, -0.240692, -0.78396195, 0.9334787, 1.0212665, -0.8473692, 1.350681, 1.411958, 1.0146813, -0.852052, 0.9348588, 1.1050543, -0.8578755, 1.0480633, 0.9329846, 1.1439047, -0.8430864, -0.58747715, 1.1419666, 1.2202781, -0.90456665, 0.9696237, -0.53870666, 1.2294647, 1.3038844, 0.9754964, -0.40851188, -0.16923535, -1.0020602, -0.50542945, 1.3049918, 1.3718741, -0.1454561, 0.9536649, -0.3621726, -0.3751409, -0.47301173, 1.3769011, 1.520198, 0.71565586, 1.4378908, 1.4937253, 1.1436299, -0.34584963, 1.5455817, 1.4264474, -0.23942009, 1.4863386, 1.5076964, 1.3653245, -0.0496391, 1.3804783, 1.5376308, 1.5616179, 1.5417559, -0.05360566, -0.03345954, -0.04262371, 1.6465737, 1.6339244, 1.6280268, -0.016863842, 1.6314856, 1.7391808, 0.03363016, 1.7328085, 1.6865547, 2.0045292, 1.851491, 0.098852135, 1.8120807, 2.1107776, 1.77022, 0.10920398, 1.9339721, 1.8762975, 2.1733708, 1.8528128, 1.9963326, 2.468287, 2.2143302, 1.9871589, 1.9442859, 0.26573336, 2.1576767, 2.4562926, 2.1203418, 2.3439326, 2.0528193, 2.0054052, 2.270378, 2.1711392, 2.102034, 2.4177585, 2.2938738, 2.1262894, 0.6103638, 2.3986473, 0.6073715, 2.1906655, 0.43831033, 0.7496975, 2.260682, 0.563818, 0.44466037, 0.54249865, 0.51094836, 2.3609002, 2.2968833, 2.234919, 0.5421421, 0.54340327, 2.3384347, 2.2669163, 2.1968474, 2.3424256, 2.2744663] anno['dimensions'] == [array([3.8507767, 1.5223237, 1.5674287], dtype=float32), array([3.8507767, 1.5223237, 1.5674287], dtype=float32), array([3.9312568, 1.6605717, 1.6659559], dtype=float32), array([3.9312568, 1.6605717, 1.6659559], dtype=float32), array([3.9312568, 1.6605717, 1.6659559], dtype=float32), array([3.8507767, 1.5223237, 1.5674287], dtype=float32), array([3.8507767, 1.5223237, 1.5674287], dtype=float32), array([3.8507767, 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anno['rotation_y'] == [-0.01887922, -0.01887922, 1.6205031, 1.6205031, 1.6205031, -0.01887922, -0.01887922, -0.01887922, -0.01887922, -0.01887922, 1.6205031, 1.6205031, -0.01887922, 1.6205031, 1.6205031, 1.6205031, -0.01887922, 1.6205031, 1.6205031, -0.01887922, 1.6205031, 1.6205031, 1.6205031, -0.01887922, -0.01887922, 1.6205031, 1.6205031, -0.01887922, 1.6205031, -0.01887922, 1.6205031, 1.6205031, 1.6205031, -0.01887922, -0.01887922, -0.01887922, -0.01887922, 1.6205031, 1.6205031, -0.01887922, 1.6205031, -0.01887922, -0.01887922, -0.01887922, 1.6205031, 1.6205031, 1.6205031, 1.6205031, 1.6205031, 1.6205031, -0.01887922, 1.6205031, 1.6205031, -0.01887922, 1.6205031, 1.6205031, 1.6205031, -0.01887922, 1.6205031, 1.6205031, 1.6205031, 1.6205031, -0.01887922, -0.01887922, -0.01887922, 1.6205031, 1.6205031, 1.6205031, -0.01887922, 1.6205031, 1.6205031, -0.01887922, 1.6205031, 1.6205031, 1.6205031, 1.6205031, -0.01887922, 1.6205031, 1.6205031, 1.6205031, -0.01887922, 1.6205031, 1.6205031, 1.6205031, 1.6205031, 1.6205031, 1.6205031, 1.6205031, 1.6205031, 1.6205031, -0.01887922, 1.6205031, 1.6205031, 1.6205031, 1.6205031, 1.6205031, 1.6205031, 1.6205031, 1.6205031, 1.6205031, 1.6205031, 1.6205031, 1.6205031, -0.01887922, 1.6205031, -0.01887922, 1.6205031, -0.01887922, -0.01887922, 1.6205031, -0.01887922, -0.01887922, -0.01887922, -0.01887922, 1.6205031, 1.6205031, 1.6205031, -0.01887922, -0.01887922, 1.6205031, 1.6205031, 1.6205031, 1.6205031, 1.6205031] anno['score'] == [0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5]

Rajat-Mehta commented 3 years ago

@MichaelSunEngineer Could you please share how did you solve this issue? Are you able to visualize the detection results ?