Gtk-Message: 16:50:34.237: Failed to load module "canberra-gtk-module"
Traceback (most recent call last):
File "camera_tf_trt.py", line 198, in <module>
main()
File "camera_tf_trt.py", line 188, in main
loop_and_detect(cam, tf_sess, args.conf_th, vis, od_type=od_type)
File "camera_tf_trt.py", line 120, in loop_and_detect
img = vis.draw_bboxes(img, box, conf, cls)
File "/home/shlok/projects/tf_trt_models/utils/visualization.py", line 96, in draw_bboxes
color = self.colors[cl]
IndexError: list index out of range
I am running GitHub - jkjung-avt/tf_trt_models: TensorFlow object detection models accelerated with NVIDIA TensorRT (TF-TRT) using this command
python3 camera_tf_trt.py --latency 200 --model new_model_ssd_colab_v2_mobilenet_2020_29_12 --labelmap data/label_final.pbtxt --num-classes 3
I have only 3 classes in label file(bottle,cardboard,clothing). I am running my custom model was able to create tf-trt graph of my model successfully but as soon as I run it using onboard camera it freezes and gives index out of range errror
{0: 'CLS0', 1: 'bottle', 2: 'cardboard', 3: 'clothing'}
this is the list of the classes in cls_dict so I changed --num-classes 4
still it didn’t work. I am not sure about 0: 'CLS0'
is that for background? I can see this class gets added here along with the classes from label file /home/s/projects/tf_trt_models/utils/od_utils.py
def read_label_map(path_to_labels):
"""Read from the label map file and return a class dictionary which
maps class id (int) to the corresponding display name (string).
Reference:
https://github.com/tensorflow/models/blob/master/research/object_detection/object_detection_tutorial.ipynb
"""
from object_detection.utils import label_map_util
category_index = label_map_util.create_category_index_from_labelmap(
path_to_labels)
cls_dict = {int(x['id']): x['name'] for x in category_index.values()}
num_classes = max(c for c in cls_dict.keys()) + 1
# add missing classes as, say,'CLS12' if any
return {i: cls_dict.get(i, 'CLS{}'.format(i)) for i in range(num_classes)}
Can anyone guide me how should I run it on jetson tx2 with onboard cam?
thanks