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I prepared my datasets and resized image to 768 x 512 for training to car and pedestrian network's model simutaneously,then the result's is that pedestrian's detection is good,but the majority bigger car's detection is not good. I am confused for this result,there some trainning parameters to be changed,Can you help me ,thanks!
The text was updated successfully, but these errors were encountered:
Hi jaminChen999, how do you modify the model to fit the different resolution?
Change Line 69 resize_width = 768
Line 70 resize_height = 512 in the examples/car/rrc_kitti_car.py?
yes,
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On 01/15/2018 11:32, shengtao96 wrote:
Hi jaminChen999, how do you modify the model to fit the different resolution?
Change Line 69 resize_width = 768
Line 70 resize_height = 512 in the examples/car/rrc_kitti_car.py?
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I prepared my datasets and resized image to 768 x 512 for training to car and pedestrian network's model simutaneously,then the result's is that pedestrian's detection is good,but the majority bigger car's detection is not good. I am confused for this result,there some trainning parameters to be changed,Can you help me ,thanks!
The text was updated successfully, but these errors were encountered: