smartwell opened a new issue #14679: when convert caffe SSD to MXNET, how to deal repeated min_size URL: https://github.com/apache/incubator-mxnet/issues/14679 First, thanks for the great work. Recently，ShiqiYu group release facedetect.caffemodel, so i want to convert this model to mxnet, i use @zhreshold [tools caffe_converter](https://github.com/zhreshold/mxnet-ssd), normally, every priorbox layer has one min_size and one max_size, when we try vgg_ssd or mobilenet_ssd ,they all work. But in this facedetect caffe prototxt ,every priorbox layer has mulit min_size and no max_size , but this convert code can't to do this work ,i try many many times to convert this caffe model , have no idea, so i holp some one can help me。 ### API mx.contrib.symbol.MultiBoxPrior how to deal with caffe priorbox with repeated min_size # if layer[i].type == 'PriorBox': param = layer[i].prior_box_param if layer[i].bottom[0] == 'data': bottom_order = [1] else: bottom_order = [0] # i change your code ，there is no max_size, so i do like below num_min_size_size = len(param.min_size) num_max_size_size = len(param.max_size) if num_max_size_size >0: assert num_max_size_size==num_min_size_size sizes_list =[] for min_size in param.min_size: sizes_list.append(min_size / input_dim[2]) sizes = "(" + ",".join([str(x) for x in sizes_list]) + ")" # try: # min_size = param.min_size[0] / input_dim[2] # max_size = math.sqrt(param.min_size[0] * param.max_size[0]) / input_dim[2] # sizes = '(%f, %f)' %(min_size, max_size) # except Exception as e: # print(e) # min_size = param.min_size[0] / input_dim[2] # sizes = '(%f)' %(min_size) priorbox_name_list = [] for index_size in range(len(sizes_list)): size = '(%f)' %(sizes_list[index_size]) symbol_string += '%s = mx.contrib.symbol.MultiBoxPrior(%s, sizes=%s, ratios=%s, clip=%s, steps=%s, name="%s")\n' % \ (name + '_' + str(index_size), mapping[layer[i].bottom[0]], size, ratios_string, clip, step, name+'_' + str(index_size)) priorbox_name_list.append(name + '_' + str(index_size)) symbol_string += "%s = mx.symbol.Concat(name = '%s', *[%s])\n"%(name, name, ','.join(priorbox_name_list)) yes，don't need to run, just decide if I'm wrong, In a priorbox layer, for every min_size, i do once time mx.contrib.symbol.MultiBoxPrior, and than Concat these MultiBoxPrior together， it also dosen't work Looking forward to your reply， thanks again
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