YAD2K
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YAD2K: Yet Another Darknet 2 Keras
Thanks for the great work! I firstly tried with the tiny-yolo, which worked fine. Then I wanted to follow the quick start to see how is the normal yolo2 on...
def _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata): """Runs a step based on the given fetches and feeds. Args: handle: a handle for partial_run. None if this is just a...
i want to detect car with yolo and i don't want to detect other object please help me to ommit other class from result
np_resource = np.dtype([("resource", np.ubyte, 1)]) Loading weights. Weights Header: [ 0 1 0 15501312] Parsing Darknet config. Traceback (most recent call last): File "./yad2k.py", line 270, in _main(parser.parse_args()) File "./yad2k.py",...
I had a 16gb ram machine but 9 gb was almost and my training data size was little more and was consuming lot of memory. Also data set images are...
  When I use yad2k, Is LeakyRelu converted to one of above picture? or not Thank you
Hi, I love the work you did on YOLO v2. It would be great if you can implement the new YOLO v3 paper: https://pjreddie.com/media/files/papers/YOLOv3.pdf Cheers!
I get a error message when I run yad2k.py "Traceback (most recent call last): File "yad2k.py", line 270, in _main(parser.parse_args()) File "yad2k.py", line 156, in _main buffer=weights_file.read(weights_size * 4)) TypeError:...
File "yad2k.py", line 248, in _main raise ValueError('Unsupported section header type: {}'.format(section)) ValueError: Unsupported section header type: shortcut_0
in yolo_loss function when calculate`no_object_weights = (no_object_scale * (1 - object_detections) *(1 - detectors_mask))` should `no_object_weights = (no_object_scale * (object_detections) *(1 - detectors_mask))` since no_object_weights is only activated when the...