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mtcnn-o.yml
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mtcnn-o.yml
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evaluations:
- name: mtcnn-o
module: custom_evaluators.mtcnn_evaluator.MTCNNEvaluator
module_config:
network_info:
pnet:
model: public/mtcnn-p/mtcnn-p.prototxt
weights: public/mtcnn-p/mtcnn-p.prototxt
outputs:
probability_out: prob1
region_out: conv4-2
inputs:
- name: data
type: INPUT
layout: NCWH
preprocessing:
- type: bgr_to_rgb
- type: pyramid
min_size: 10
factor: 0.79
adapter:
type: mtcnn_p
probability_out: prob1
region_out: conv4-2
regions_format: hw
rnet:
model: public/mtcnn-r/mtcnn-r.prototxt
weights: public/mtcnn-r/mtcnn-r.prototxt
outputs:
probability_out: prob1
region_out: conv5-2
inputs:
- name: data
type: INPUT
layout: NCWH
preprocessing:
- type: bgr_to_rgb
onet:
model: public/mtcnn-o/mtcnn-o.prototxt
weights: public/mtcnn-o/mtcnn-o.prototxt
outputs:
probability_out: prob1
region_out: conv6-2
inputs:
- name: data
type: INPUT
layout: NCWH
preprocessing:
- type: bgr_to_rgb
launchers:
- framework: caffe
datasets:
- name: wider
preprocessing:
- type: normalization
mean: 127.5
std: 128
postprocessing:
- type: filter
apply_to: prediction
is_empty: True
- type: filter
height_range: 60
apply_to: annotation
metrics:
- type: recall
ignore_difficult: True
include_boundaries: True
allow_multiple_matches_per_ignored: True
distinct_conf: False
- type: map
ignore_difficult: True
include_boundaries: True
allow_multiple_matches_per_ignored: True
distinct_conf: False
- name: mtcnn-o
module: custom_evaluators.mtcnn_evaluator.MTCNNEvaluator
module_config:
network_info:
pnet:
model: public/mtcnn-p/FP32/mtcnn-p.xml
weights: public/mtcnn-p/FP32/mtcnn-p.bin
outputs:
probability_out: prob1
region_out: conv4-2
inputs:
- name: data
type: INPUT
layout: NCWH
preprocessing:
- type: bgr_to_rgb
- type: pyramid
min_size: 10
factor: 0.79
rnet:
model: public/mtcnn-r/FP32/mtcnn-r.xml
weights: public/mtcnn-r/FP32/mtcnn-r.bin
outputs:
probability_out: prob1
region_out: conv5-2
inputs:
- name: data
type: INPUT
layout: NCWH
preprocessing:
- type: bgr_to_rgb
onet:
model: public/mtcnn-o/FP32/mtcnn-o.xml
weights: public/mtcnn-o/FP32/mtcnn-o.bin
outputs:
probability_out: prob1
region_out: conv6-2
inputs:
- name: data
type: INPUT
layout: NCWH
preprocessing:
- type: bgr_to_rgb
launchers:
- framework: dlsdk
tags:
- FP32
datasets:
- name: wider
postprocessing:
- type: filter
apply_to: prediction
is_empty: True
- type: filter
height_range: 60
apply_to: annotation
metrics:
- type: recall
ignore_difficult: True
include_boundaries: True
allow_multiple_matches_per_ignored: True
distinct_conf: False
- type: map
ignore_difficult: True
include_boundaries: True
allow_multiple_matches_per_ignored: True
distinct_conf: False
- name: mtcnn-o
module: custom_evaluators.mtcnn_evaluator.MTCNNEvaluator
module_config:
network_info:
pnet:
model: public/mtcnn-p/FP16/mtcnn-p.xml
weights: public/mtcnn-p/FP16/mtcnn-p.bin
outputs:
probability_out: prob1
region_out: conv4-2
inputs:
- name: data
type: INPUT
layout: NCWH
preprocessing:
- type: bgr_to_rgb
- type: pyramid
min_size: 10
factor: 0.79
rnet:
model: public/mtcnn-r/FP16/mtcnn-r.xml
weights: public/mtcnn-r/FP16/mtcnn-r.bin
outputs:
probability_out: prob1
region_out: conv5-2
inputs:
- name: data
type: INPUT
layout: NCWH
preprocessing:
- type: bgr_to_rgb
onet:
model: public/mtcnn-o/FP16/mtcnn-o.xml
weights: public/mtcnn-o/FP16/mtcnn-o.bin
outputs:
probability_out: prob1
region_out: conv6-2
inputs:
- name: data
type: INPUT
layout: NCWH
preprocessing:
- type: bgr_to_rgb
launchers:
- framework: dlsdk
tags:
- FP16
datasets:
- name: wider
postprocessing:
- type: filter
apply_to: prediction
is_empty: True
- type: filter
height_range: 60
apply_to: annotation
metrics:
- type: recall
ignore_difficult: True
include_boundaries: True
allow_multiple_matches_per_ignored: True
distinct_conf: False
- type: map
ignore_difficult: True
include_boundaries: True
allow_multiple_matches_per_ignored: True
distinct_conf: False
global_definitions: ../dataset_definitions.yml