JYOTHIR ROSE K J jyothir07

ResNet-152 in Keras

This is an Keras implementation of ResNet-152 with ImageNet pre-trained weights. I converted the weights from Caffe provided by the authors of the paper. The implementation supports both Theano and TensorFlow backends. Just in case you are curious about how the conversion is done, you can visit my blog post for more details.

ResNet Paper:

Deep Residual Learning for Image Recognition.
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
arXiv:1512.03385

	import mercantile, mapbox_vector_tile, requests, json
	from vt2geojson.tools import vt_bytes_to_geojson

	# define an empty geojson as output
	output= { "type": "FeatureCollection", "features": [] }

	# vector tile endpoints -- change this in the API request to reference the correct endpoint
	tile_points = 'mly_map_feature_point'
	tile_traffic_signs = 'mly_map_feature_traffic_sign'
	tile_coverage = 'mly1_public'