Publishing 2019 R1 content
[platform/upstream/dldt.git] / tools / accuracy_checker / configs / human-pose-estimation-0001.yml
1 models:
2   - name: human-pose-estimation-0001
3
4     launchers:
5       - framework: dlsdk
6         tags:
7           - FP32
8         device: CPU
9         model:   human-pose-estimation-0001/FP32/human-pose-estimation-0001.xml
10         weights: human-pose-estimation-0001/FP32/human-pose-estimation-0001.bin
11         allow_reshape_input: True
12         adapter:
13           type: human_pose_estimation
14           part_affinity_fields_out: Mconv7_stage2_L1
15           keypoints_heatmap_out: Mconv7_stage2_L2
16
17       - framework: dlsdk
18         tags:
19           - GPU32
20         device: GPU
21         model:   human-pose-estimation-0001/FP32/human-pose-estimation-0001.xml
22         weights: human-pose-estimation-0001/FP32/human-pose-estimation-0001.bin
23         allow_reshape_input: True
24         adapter:
25           type: human_pose_estimation
26           part_affinity_fields_out: Mconv7_stage2_L1
27           keypoints_heatmap_out: Mconv7_stage2_L2
28
29       - framework: dlsdk
30         tags:
31           - GPU16
32         device: GPU
33         model:   human-pose-estimation-0001/FP16/human-pose-estimation-0001.xml
34         weights: human-pose-estimation-0001/FP16/human-pose-estimation-0001.bin
35         allow_reshape_input: True
36         adapter:
37           type: human_pose_estimation
38           part_affinity_fields_out: Mconv7_stage2_L1
39           keypoints_heatmap_out: Mconv7_stage2_L2
40
41       - framework: dlsdk
42         device: MYRIAD
43         model:   human-pose-estimation-0001/FP16/human-pose-estimation-0001.xml
44         weights: human-pose-estimation-0001/FP16/human-pose-estimation-0001.bin
45         allow_reshape_input: True
46         adapter:
47           type: human_pose_estimation
48           part_affinity_fields_out: Mconv7_stage2_L1
49           keypoints_heatmap_out: Mconv7_stage2_L2
50
51       - framework: dlsdk
52         device: HDDL
53         model:   human-pose-estimation-0001/FP16/human-pose-estimation-0001.xml
54         weights: human-pose-estimation-0001/FP16/human-pose-estimation-0001.bin
55         allow_reshape_input: True
56         adapter:
57           type: human_pose_estimation
58           part_affinity_fields_out: Mconv7_stage2_L1
59           keypoints_heatmap_out: Mconv7_stage2_L2
60
61       - framework: dlsdk
62         tags:
63           - FPGA16
64         device: HETERO:FPGA,CPU
65         model:   human-pose-estimation-0001/FP32/human-pose-estimation-0001.xml
66         weights: human-pose-estimation-0001/FP32/human-pose-estimation-0001.bin
67         allow_reshape_input: True
68         adapter:
69           type: human_pose_estimation
70           part_affinity_fields_out: Mconv7_stage2_L1
71           keypoints_heatmap_out: Mconv7_stage2_L2
72         bitstream: 2019R1_A10DK_FP16_ELU.aocx
73
74       - framework: dlsdk
75         tags:
76           - FPGA11
77         device: HETERO:FPGA,CPU
78         model:   human-pose-estimation-0001/FP32/human-pose-estimation-0001.xml
79         weights: human-pose-estimation-0001/FP32/human-pose-estimation-0001.bin
80         allow_reshape_input: True
81         adapter:
82           type: human_pose_estimation
83           part_affinity_fields_out: Mconv7_stage2_L1
84           keypoints_heatmap_out: Mconv7_stage2_L2
85         bitstream: 2019R1_A10DK_FP11_ELU.aocx
86
87
88     datasets:
89       - name: ms_coco_keypoints
90         data_source: val2017
91         annotation_conversion:
92           converter: mscoco_keypoints
93           annotation_file: person_keypoints_val2017.json
94
95         preprocessing:
96           - type: resize
97             size: 368
98             interpolation: CUBIC
99             aspect_ratio_scale: width
100           - type: padding
101             stride: 8
102
103         postprocessing:
104           - type: filter
105             apply_to: annotation
106             area_range: 1, 10000000000
107           - type: filter
108             apply_to: prediction
109             area_range: 1, 10000000000
110
111         metrics:
112           - name: AP
113             type: coco_precision
114             max_detections: 20