Adds darknet for testing

Author: Francisco Facioni

mmdnn/conversion/examples/darknet/darknet.py

@@ -42,8 +42,6 @@ class METADATA(Structure):
     _fields_ = [("classes", c_int),
                 ("names", POINTER(c_char_p))]
 
-
-
 lib = CDLL("./mmdnn/conversion/examples/darknet/libdarknet.so", RTLD_GLOBAL)
 lib.network_width.argtypes = [c_void_p]
 lib.network_width.restype = c_int
@@ -77,6 +75,7 @@ class METADATA(Structure):
 
 network_predict = lib.network_predict
 network_predict.argtypes = [c_void_p, POINTER(c_float)]
+network_predict.restype = POINTER(c_float)
 
 reset_rnn = lib.reset_rnn
 reset_rnn.argtypes = [c_void_p]
@@ -85,6 +84,9 @@ class METADATA(Structure):
 load_net.argtypes = [c_char_p, c_char_p, c_int]
 load_net.restype = c_void_p
 
+free_network = lib.free_network
+free_network.argtypes = [c_void_p]
+
 do_nms_obj = lib.do_nms_obj
 do_nms_obj.argtypes = [POINTER(DETECTION), c_int, c_int, c_float]
 
@@ -113,6 +115,10 @@ class METADATA(Structure):
 predict_image.argtypes = [c_void_p, IMAGE]
 predict_image.restype = POINTER(c_float)
 
+network_outputs = lib.network_outputs
+network_outputs.argtypes = [c_void_p]
+network_outputs.restype = c_int
+
 def classify(net, meta, im):
     out = predict_image(net, im)
     res = []

tests/test_conversion_imagenet.py

@@ -6,6 +6,7 @@
 import sys
 import imp
 import numpy as np
+import ctypes
 
 from mmdnn.conversion.examples.imagenet_test import TestKit
 import utils
@@ -310,6 +311,48 @@ def CntkEmit(original_framework, architecture_name, architecture_path, weight_pa
 
         return converted_predict
 
+    @staticmethod
+    def DarknetEmit(original_framework, architecture_name, architecture_path, weight_path, image_path):
+        try:
+            from mmdnn.conversion.examples.darknet import darknet as cdarknet
+            from mmdnn.conversion.darknet.darknet_emitter import DarknetEmitter
+
+            # IR to code
+            converted_file = original_framework + '_darknet_' + architecture_name + "_converted"
+            converted_file = converted_file.replace('.', '_')
+            emitter = DarknetEmitter((architecture_path, weight_path))
+            emitter.run(converted_file + '.py', converted_file + '.npy', 'test')
+            del emitter
+            del DarknetEmitter
+
+            # import converted model
+            imported = imp.load_source('DarknetModel', converted_file + '.py')
+
+            imported.make_net(converted_file + '.cfg')
+            imported.gen_weight(converted_file + '.npy', converted_file + '.weights')
+
+            original_framework = checkfrozen(original_framework)
+            func = TestKit.preprocess_func[original_framework][architecture_name]
+            img = func(image_path)
+            img = np.ascontiguousarray(img, dtype=np.float32)
+
+            model_converted = cdarknet.load_net((converted_file + '.cfg').encode(), (converted_file + '.weights').encode(), 0)
+            outputs = cdarknet.network_outputs(model_converted)
+            output = cdarknet.network_predict(model_converted, img.ctypes.data_as(ctypes.POINTER(ctypes.c_float)))
+            predict = np.ctypeslib.as_array(output, shape=(outputs,))
+            converted_predict = np.squeeze(predict)
+
+            cdarknet.free_network(model_converted)
+            del sys.modules['DarknetModel']
+            os.remove(converted_file + '.py')
+            os.remove(converted_file + '.npy')
+            os.remove(converted_file + '.cfg')
+            os.remove(converted_file + '.weights')
+
+            return converted_predict
+        except ImportError:
+            print("Cannot import Darknet. Darknet Emit is not tested.")
+            return None
 
     @staticmethod
     def TensorflowEmit(original_framework, architecture_name, architecture_path, weight_path, image_path):
@@ -772,7 +815,7 @@ def OnnxEmit(original_framework, architecture_name, architecture_path, weight_pa
             },
 
             'keras' : {
-                'vgg19'        : [CaffeEmit, CntkEmit, CoreMLEmit, KerasEmit, MXNetEmit, PytorchEmit, TensorflowEmit],
+                'vgg19'        : [CaffeEmit, CntkEmit, CoreMLEmit, KerasEmit, MXNetEmit, PytorchEmit, TensorflowEmit, DarknetEmit],
                 'inception_v3' : [CaffeEmit, CntkEmit, CoreMLEmit, KerasEmit, MXNetEmit, PytorchEmit, TensorflowEmit],
                 'resnet50'     : [CaffeEmit, CntkEmit, CoreMLEmit, KerasEmit, MXNetEmit, PytorchEmit, TensorflowEmit],
                 'densenet'     : [CaffeEmit, CntkEmit, CoreMLEmit, KerasEmit, MXNetEmit, PytorchEmit, TensorflowEmit],
@@ -783,7 +826,7 @@ def OnnxEmit(original_framework, architecture_name, architecture_path, weight_pa
             },
 
             'mxnet' : {
-                'vgg19'                        : [CaffeEmit, CntkEmit, CoreMLEmit, KerasEmit, MXNetEmit, PytorchEmit, TensorflowEmit],
+                'vgg19'                        : [DarknetEmit, CaffeEmit, CntkEmit, CoreMLEmit, KerasEmit, MXNetEmit, PytorchEmit, TensorflowEmit],
                 'imagenet1k-inception-bn'      : [CaffeEmit, CntkEmit, CoreMLEmit, KerasEmit, MXNetEmit, PytorchEmit, TensorflowEmit],
                 'imagenet1k-resnet-18'         : [CaffeEmit, CntkEmit, CoreMLEmit, KerasEmit, MXNetEmit, PytorchEmit, TensorflowEmit],
                 'imagenet1k-resnet-152'        : [CaffeEmit, CntkEmit, CoreMLEmit, KerasEmit, MXNetEmit, PytorchEmit, TensorflowEmit],
@@ -806,7 +849,7 @@ def OnnxEmit(original_framework, architecture_name, architecture_path, weight_pa
             },
 
             'tensorflow' : {
-                'vgg19'                 : [CaffeEmit, CoreMLEmit, CntkEmit, KerasEmit, MXNetEmit, PytorchEmit, TensorflowEmit],
+                'vgg19'                 : [CaffeEmit, CoreMLEmit, CntkEmit, KerasEmit, MXNetEmit, PytorchEmit, TensorflowEmit, DarknetEmit],
                 'inception_v1'          : [CaffeEmit, CoreMLEmit, KerasEmit, MXNetEmit, PytorchEmit, TensorflowEmit], # TODO: CntkEmit
                 'inception_v3'          : [CaffeEmit, CoreMLEmit, CntkEmit, KerasEmit, MXNetEmit, PytorchEmit, TensorflowEmit],
                 'resnet_v1_152'         : [CaffeEmit, CoreMLEmit, KerasEmit, MXNetEmit, PytorchEmit, TensorflowEmit], # TODO: CntkEmit
@@ -847,7 +890,7 @@ def OnnxEmit(original_framework, architecture_name, architecture_path, weight_pa
                 'alexnet'     : [CaffeEmit, CoreMLEmit, KerasEmit, MXNetEmit, PytorchEmit, TensorflowEmit],
                 'densenet201' : [CaffeEmit, CoreMLEmit, KerasEmit, MXNetEmit, PytorchEmit, TensorflowEmit],
                 'inception_v3': [CaffeEmit, CoreMLEmit, KerasEmit, PytorchEmit, TensorflowEmit],  # Mxnet broken https://github.com/apache/incubator-mxnet/issues/10194
-                'vgg19'       : [CaffeEmit, CoreMLEmit, KerasEmit, MXNetEmit, PytorchEmit, TensorflowEmit],
+                'vgg19'       : [CaffeEmit, CoreMLEmit, KerasEmit, MXNetEmit, PytorchEmit, TensorflowEmit, DarknetEmit],
                 'vgg19_bn'    : [CaffeEmit, CoreMLEmit, KerasEmit, MXNetEmit, PytorchEmit, TensorflowEmit],
                 'resnet152'   : [CaffeEmit, CoreMLEmit, KerasEmit, MXNetEmit, PytorchEmit, TensorflowEmit],
             }

tests/test_keras.py

@@ -27,7 +27,7 @@ def get_test_table():
     else:
         return {
             'keras' : {
-                'vgg19'        : [TestModels.CaffeEmit, TestModels.CntkEmit, TestModels.CoreMLEmit, TestModels.KerasEmit, TestModels.MXNetEmit, TestModels.PytorchEmit, TestModels.TensorflowEmit],
+                'vgg19'        : [TestModels.CaffeEmit, TestModels.CntkEmit, TestModels.CoreMLEmit, TestModels.KerasEmit, TestModels.MXNetEmit, TestModels.PytorchEmit, TestModels.TensorflowEmit, TestModels.DarknetEmit],
                 'inception_v3' : [TestModels.CaffeEmit, TestModels.CntkEmit, TestModels.CoreMLEmit, TestModels.KerasEmit, TestModels.MXNetEmit, TestModels.PytorchEmit, TestModels.TensorflowEmit],
                 'resnet50'     : [TestModels.CaffeEmit, TestModels.CntkEmit, TestModels.CoreMLEmit, TestModels.KerasEmit, TestModels.MXNetEmit, TestModels.PytorchEmit, TestModels.TensorflowEmit],
                 'densenet'     : [TestModels.CaffeEmit, TestModels.CntkEmit, TestModels.CoreMLEmit, TestModels.KerasEmit, TestModels.MXNetEmit, TestModels.PytorchEmit, TestModels.TensorflowEmit],

tests/test_tensorflow.py

@@ -15,7 +15,7 @@ def get_test_table():
 
     return { 'tensorflow' :
     {
-        'vgg19'                : [TestModels.CaffeEmit, TestModels.CoreMLEmit, TestModels.CntkEmit, TestModels.KerasEmit, TestModels.MXNetEmit, TestModels.PytorchEmit],
+        'vgg19'                : [TestModels.CaffeEmit, TestModels.CoreMLEmit, TestModels.CntkEmit, TestModels.KerasEmit, TestModels.MXNetEmit, TestModels.PytorchEmit, TestModels.DarknetEmit],
         'inception_v1'         : [TestModels.CaffeEmit, TestModels.CoreMLEmit, TestModels.KerasEmit, TestModels.MXNetEmit, TestModels.PytorchEmit, TestModels.TensorflowEmit],
         'inception_v3'         : [TestModels.CaffeEmit, TestModels.CoreMLEmit, TestModels.CntkEmit, TestModels.KerasEmit, TestModels.MXNetEmit, TestModels.PytorchEmit, TestModels.TensorflowEmit],
         'resnet_v1_152'        : [TestModels.CaffeEmit, TestModels.CoreMLEmit, TestModels.KerasEmit, TestModels.MXNetEmit, TestModels.PytorchEmit, TestModels.TensorflowEmit],