Skip to content

Commit 43234ca

Browse files
zhangzhaosenzhangzhaosen
committed
//template
1 parent 0f5eda7 commit 43234ca

13 files changed

+7390
-0
lines changed

‎classification/Classification_ResNet.json‎

Lines changed: 343 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,343 @@
1+
{
2+
"key_": "nndeploy.dag.Graph",
3+
"name_": "Classification_ResNet",
4+
"developer_": "Always",
5+
"source_": "https://github.com/KaimingHe/deep-residual-networks",
6+
"desc_": "Image classification workflow based on ResNet network",
7+
"device_type_": "kDeviceTypeCodeCpu:0",
8+
"is_dynamic_input_": false,
9+
"inputs_": [],
10+
"is_dynamic_output_": false,
11+
"outputs_": [],
12+
"is_graph_": true,
13+
"parallel_type_": "kParallelTypeNone",
14+
"is_inner_": false,
15+
"node_type_": "Intermediate",
16+
"is_time_profile_": false,
17+
"is_debug_": false,
18+
"is_external_stream_": false,
19+
"is_graph_node_share_stream_": true,
20+
"queue_max_size_": 16,
21+
"is_loop_max_flag_": true,
22+
"loop_count_": -1,
23+
"image_url_": [
24+
"template[http,modelscope]@https://template.cn/template.jpg"
25+
],
26+
"video_url_": [
27+
"template[http,modelscope]@https://template.cn/template.mp4"
28+
],
29+
"audio_url_": [
30+
"template[http,modelscope]@https://template.cn/template.mp3"
31+
],
32+
"model_url_": [
33+
"modelscope@nndeploy/nndeploy:classification/resnet50-v1-7.slim.onnx"
34+
],
35+
"other_url_": [
36+
"template[http,modelscope]@https://template.cn/template.txt"
37+
],
38+
"node_repository_": [
39+
{
40+
"key_": "nndeploy::preprocess::CvtResizeNormTrans",
41+
"name_": "CvtResizeNormTrans_22",
42+
"desc_": "cv::Mat to device::Tensor[cvtcolor->resize->normalize->transpose]",
43+
"device_type_": "kDeviceTypeCodeCpu:0",
44+
"is_dynamic_input_": false,
45+
"inputs_": [
46+
{
47+
"desc_": "input_0",
48+
"type_": "ndarray",
49+
"name_": "OpenCvImageDecode_27@output_0"
50+
}
51+
],
52+
"is_dynamic_output_": false,
53+
"outputs_": [
54+
{
55+
"desc_": "output_0",
56+
"type_": "Tensor",
57+
"name_": "CvtResizeNormTrans_22@output_0"
58+
}
59+
],
60+
"node_type_": "Intermediate",
61+
"param_": {
62+
"src_pixel_type_": "kPixelTypeBGR",
63+
"dst_pixel_type_": "kPixelTypeRGB",
64+
"interp_type_": "kInterpTypeLinear",
65+
"h_": 224,
66+
"w_": 224,
67+
"data_type_": "kDataTypeCodeFp32",
68+
"data_format_": "kDataFormatNCHW",
69+
"normalize_": true,
70+
"scale_": [
71+
0.003921568859368563,
72+
0.003921568859368563,
73+
0.003921568859368563,
74+
0.003921568859368563
75+
],
76+
"mean_": [
77+
0.485,
78+
0.456,
79+
0.406,
80+
0.5
81+
],
82+
"std_": [
83+
0.229,
84+
0.224,
85+
0.225,
86+
1
87+
]
88+
},
89+
"node_repository_": [],
90+
"size": {
91+
"width": 200,
92+
"height": 80
93+
}
94+
},
95+
{
96+
"key_": "nndeploy::infer::Infer",
97+
"name_": "Infer_23",
98+
"desc_": "Universal Inference Node - Enables cross-platform model deployment with multiple inference backends while maintaining native performance",
99+
"device_type_": "kDeviceTypeCodeCpu:0",
100+
"is_dynamic_input_": true,
101+
"inputs_": [
102+
{
103+
"desc_": "input_0",
104+
"type_": "Tensor",
105+
"name_": "CvtResizeNormTrans_22@output_0"
106+
}
107+
],
108+
"is_dynamic_output_": true,
109+
"outputs_": [
110+
{
111+
"desc_": "output_0",
112+
"type_": "Tensor",
113+
"name_": "Infer_23@output_0"
114+
}
115+
],
116+
"node_type_": "Intermediate",
117+
"type_": "kInferenceTypeOnnxRuntime",
118+
"param_": {
119+
"model_type_": "kModelTypeOnnx",
120+
"is_path_": true,
121+
"model_value_": [
122+
"resources/models/classification/resnet50-v1-7.slim.onnx"
123+
],
124+
"external_model_data_": [
125+
""
126+
],
127+
"device_type_": "kDeviceTypeCodeCpu:0",
128+
"num_thread_": 8,
129+
"gpu_tune_kernel_": 1,
130+
"input_num_": 1,
131+
"input_name_": [
132+
""
133+
],
134+
"input_shape_": [
135+
[
136+
-1,
137+
-1,
138+
-1,
139+
-1
140+
]
141+
],
142+
"output_num_": 1,
143+
"output_name_": [
144+
""
145+
],
146+
"encrypt_type_": "kEncryptTypeNone",
147+
"license_": "",
148+
"share_memory_mode_": "kShareMemoryTypeNoShare",
149+
"precision_type_": "kPrecisionTypeFp32",
150+
"power_type_": "kPowerTypeNormal",
151+
"is_dynamic_shape_": false,
152+
"min_shape_": {
153+
"input_0": [
154+
-1,
155+
-1,
156+
-1,
157+
-1
158+
]
159+
},
160+
"opt_shape_": {
161+
"input_0": [
162+
-1,
163+
-1,
164+
-1,
165+
-1
166+
]
167+
},
168+
"max_shape_": {
169+
"input_0": [
170+
-1,
171+
-1,
172+
-1,
173+
-1
174+
]
175+
},
176+
"parallel_type_": "kParallelTypeNone",
177+
"worker_num_": 1
178+
},
179+
"node_repository_": [],
180+
"size": {
181+
"width": 200,
182+
"height": 80
183+
}
184+
},
185+
{
186+
"key_": "nndeploy::classification::ClassificationPostProcess",
187+
"name_": "ClassificationPostProcess_24",
188+
"desc_": "Classification postprocess[device::Tensor->ClassificationResult]",
189+
"device_type_": "kDeviceTypeCodeCpu:0",
190+
"is_dynamic_input_": false,
191+
"inputs_": [
192+
{
193+
"desc_": "input_0",
194+
"type_": "Tensor",
195+
"name_": "Infer_23@output_0"
196+
}
197+
],
198+
"is_dynamic_output_": false,
199+
"outputs_": [
200+
{
201+
"desc_": "output_0",
202+
"type_": "ClassificationResult",
203+
"name_": "ClassificationPostProcess_24@output_0"
204+
}
205+
],
206+
"node_type_": "Intermediate",
207+
"param_": {
208+
"topk": 1,
209+
"is_softmax": true,
210+
"version": -1
211+
},
212+
"node_repository_": [],
213+
"size": {
214+
"width": 200,
215+
"height": 80
216+
}
217+
},
218+
{
219+
"key_": "nndeploy::classification::DrawLable",
220+
"name_": "DrawLable_25",
221+
"desc_": "Draw classification labels on input cv::Mat image based on classification results[cv::Mat->cv::Mat]",
222+
"device_type_": "kDeviceTypeCodeCpu:0",
223+
"is_dynamic_input_": false,
224+
"inputs_": [
225+
{
226+
"desc_": "input_0",
227+
"type_": "ndarray",
228+
"name_": "OpenCvImageDecode_27@output_0"
229+
},
230+
{
231+
"desc_": "input_1",
232+
"type_": "ClassificationResult",
233+
"name_": "ClassificationPostProcess_24@output_0"
234+
}
235+
],
236+
"is_dynamic_output_": false,
237+
"outputs_": [
238+
{
239+
"desc_": "output_0",
240+
"type_": "ndarray",
241+
"name_": "DrawLable_25@output_0"
242+
}
243+
],
244+
"node_type_": "Intermediate",
245+
"node_repository_": [],
246+
"size": {
247+
"width": 200,
248+
"height": 80
249+
}
250+
},
251+
{
252+
"key_": "nndeploy::codec::OpenCvImageDecode",
253+
"name_": "OpenCvImageDecode_27",
254+
"developer_": "",
255+
"source_": "",
256+
"desc_": "Decode image using OpenCV, from image path to cv::Mat, default color space is BGR",
257+
"device_type_": "kDeviceTypeCodeCpu:0",
258+
"version_": "1.0.0",
259+
"required_params_": [
260+
"path_"
261+
],
262+
"ui_params_": [],
263+
"is_dynamic_input_": false,
264+
"inputs_": [],
265+
"is_dynamic_output_": false,
266+
"outputs_": [
267+
{
268+
"type_": "ndarray",
269+
"desc_": "output_0",
270+
"name_": "OpenCvImageDecode_27@output_0"
271+
}
272+
],
273+
"node_type_": "Input",
274+
"io_type_": "Image",
275+
"path_": "resources/template/nndeploy-workflow/classification/input.resnet.png",
276+
"size": {
277+
"width": 200,
278+
"height": 80
279+
},
280+
"node_repository_": []
281+
},
282+
{
283+
"key_": "nndeploy::codec::OpenCvImageEncode",
284+
"name_": "OpenCvImageEncode_28",
285+
"developer_": "",
286+
"source_": "",
287+
"desc_": "Encode image using OpenCV, from cv::Mat to image file, supports common image formats",
288+
"device_type_": "kDeviceTypeCodeCpu:0",
289+
"version_": "1.0.0",
290+
"required_params_": [
291+
"path_"
292+
],
293+
"ui_params_": [],
294+
"is_dynamic_input_": false,
295+
"inputs_": [
296+
{
297+
"type_": "ndarray",
298+
"desc_": "input_0",
299+
"name_": "DrawLable_25@output_0"
300+
}
301+
],
302+
"is_dynamic_output_": false,
303+
"outputs_": [],
304+
"node_type_": "Output",
305+
"io_type_": "Image",
306+
"path_": "resources/images/result.resnet.jpg",
307+
"size": {
308+
"width": 200,
309+
"height": 80
310+
},
311+
"node_repository_": []
312+
}
313+
],
314+
"nndeploy_ui_layout": {
315+
"layout": {
316+
"CvtResizeNormTrans_22": {
317+
"x": 400,
318+
"y": 60
319+
},
320+
"Infer_23": {
321+
"x": 700,
322+
"y": 60
323+
},
324+
"ClassificationPostProcess_24": {
325+
"x": 1000,
326+
"y": 60
327+
},
328+
"DrawLable_25": {
329+
"x": 1300,
330+
"y": 0
331+
},
332+
"OpenCvImageDecode_27": {
333+
"x": 110.25706940874026,
334+
"y": -189.32647814910027
335+
},
336+
"OpenCvImageEncode_28": {
337+
"x": 1569.383033419023,
338+
"y": 161.31619537275066
339+
}
340+
},
341+
"groups": []
342+
}
343+
}

0 commit comments

Comments
 (0)