Add some descriptor scripts for enrichment tests

Descriptors/dfc_base.py

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+#!/usr/bin/python
+# -*- coding: utf-8 -*-
+# \file dfc_base.py
+# \brief TODO
+# \author Florent Guiotte <florent.guiotte@gmail.com>
+# \version 0.1
+# \date 27 août 2018
+#
+# TODO details
+
+import numpy as np
+
+import sys
+sys.path.append('..')
+import ld2dap
+
+def run(rasters, treshold=1e4):
+    # Parse parameters type
+    treshold = float(treshold)
+
+    # Pipelines
+    loader = ld2dap.LoadTIFF(rasters)
+    dfc_filter = ld2dap.Treshold(treshold)
+    dfc_filter.input = loader
+    out_vectors = ld2dap.RawOutput()
+    out_vectors.input = dfc_filter
+
+    # Compute vectors
+    out_vectors.run()
+
+    return out_vectors.data
+
+def version():
+    return 'v0.0'

Descriptors/dfc_daps.py

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+#!/usr/bin/python
+# -*- coding: utf-8 -*-
+# \file dfc_daps.py
+# \brief TODO
+# \author Florent Guiotte <florent.guiotte@gmail.com>
+# \version 0.1
+# \date 27 août 2018
+#
+# TODO details
+
+import numpy as np
+
+import sys
+sys.path.append('..')
+import ld2dap
+
+def run(rasters, treshold=1e4, areas=None, sd=None, moi=None):
+    # Parse parameters type
+    treshold = float(treshold)
+    areas = None if areas is None else np.array(areas).astype(np.float).astype(np.int)
+    sd = None if sd is None else np.array(sd).astype(np.float)
+    moi = None if moi is None else np.array(moi).astype(np.float)
+
+    # Pipelines
+    loader = ld2dap.LoadTIFF(rasters)
+    dfc_filter = ld2dap.Treshold(treshold)
+    dfc_filter.input = loader
+    aps = ld2dap.AttributeProfiles(area=areas, sd=sd, moi=moi)
+    aps.input = dfc_filter
+    differential = ld2dap.Differential()
+    differential.input = aps
+    out_vectors = ld2dap.RawOutput()
+    out_vectors.input = differential
+
+    # Compute vectors
+    out_vectors.run()
+
+    return out_vectors.data
+
+def version():
+    return 'v0.0'

Descriptors/dfc_dsdaps.py

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+#!/usr/bin/python
+# -*- coding: utf-8 -*-
+# \file dfc_dsdaps.py
+# \brief TODO
+# \author Florent Guiotte <florent.guiotte@gmail.com>
+# \version 0.1
+# \date 28 août 2018
+#
+# TODO details
+
+import numpy as np
+
+import sys
+sys.path.append('..')
+import ld2dap
+
+def run(rasters, treshold=1e4, areas=None, sd=None, moi=None):
+    # Parse parameters type
+    treshold = float(treshold)
+    areas = None if areas is None else np.array(areas).astype(np.float).astype(np.int)
+    sd = None if sd is None else np.array(sd).astype(np.float)
+    moi = None if moi is None else np.array(moi).astype(np.float)
+
+    # Pipelines
+    loader = ld2dap.LoadTIFF(rasters)
+    dfc_filter = ld2dap.Treshold(treshold)
+    dfc_filter.input = loader
+    sdaps = ld2dap.SelfDualAttributeProfiles(area=areas, sd=sd, moi=moi)
+    sdaps.input = dfc_filter
+    differential = ld2dap.Differential()
+    differential.input = sdaps
+    out_vectors = ld2dap.RawOutput()
+    out_vectors.input = differential
+
+    # Compute vectors
+    out_vectors.run()
+
+    return out_vectors.data
+
+def version():
+    return 'v0.0'

Descriptors/dfc_lfaps.py

@@ -0,0 +1,57 @@
+#!/usr/bin/python
+# -*- coding: utf-8 -*-
+# \file dfc_lfaps.py
+# \brief TODO
+# \author Florent Guiotte <florent.guiotte@gmail.com>
+# \version 0.1
+# \date 27 août 2018
+#
+# TODO details
+
+import numpy as np
+
+import sys
+sys.path.append('..')
+import ld2dap
+
+# TODO: Add param percentile?
+
+dispatcher = {
+        'mean': np.mean, # Arithmetic mean
+        'median': np.median, # Median
+        'average': np.average, # Weighted average (=mean ?)
+        'std': np.std, # Standard deviation
+        'var': np.var, # Variance
+        'amax': np.amax, # Maximum
+        'amin': np.amin, # Minimum
+        'ptp': np.ptp, # Range of values (max - min)
+        }
+
+def run(rasters, treshold=1e4, areas=None, sd=None, moi=None, features=['mean'], patch_size=3):
+    # Parse parameters type
+    treshold = float(treshold)
+    areas = None if areas is None else np.array(areas).astype(np.float).astype(np.int)
+    sd = None if sd is None else np.array(sd).astype(np.float)
+    moi = None if moi is None else np.array(moi).astype(np.float)
+    patch_size = int(patch_size)
+    features = [dispatcher[x] for x in features]
+
+    # Pipelines
+    loader = ld2dap.LoadTIFF(rasters)
+    dfc_filter = ld2dap.Treshold(treshold)
+    dfc_filter.input = loader
+    aps = ld2dap.AttributeProfiles(area=areas, sd=sd, moi=moi)
+    aps.input = dfc_filter
+    local_features = ld2dap.LocalFeatures(features, patch_size)
+    local_features.input = aps
+    out_vectors = ld2dap.RawOutput()
+    out_vectors.input = local_features
+
+    # Compute vectors
+    out_vectors.run()
+
+    return out_vectors.data
+
+def version():
+    return 'v0.0'
+

Descriptors/dfc_lfsdaps.py

@@ -0,0 +1,57 @@
+#!/usr/bin/python
+# -*- coding: utf-8 -*-
+# \file dfc_lfsdaps.py
+# \brief TODO
+# \author Florent Guiotte <florent.guiotte@gmail.com>
+# \version 0.1
+# \date 28 août 2018
+#
+# TODO details
+
+import numpy as np
+
+import sys
+sys.path.append('..')
+import ld2dap
+
+# TODO: Add param percentile?
+
+dispatcher = {
+        'mean': np.mean, # Arithmetic mean
+        'median': np.median, # Median
+        'average': np.average, # Weighted average (=mean ?)
+        'std': np.std, # Standard deviation
+        'var': np.var, # Variance
+        'amax': np.amax, # Maximum
+        'amin': np.amin, # Minimum
+        'ptp': np.ptp, # Range of values (max - min)
+        }
+
+def run(rasters, treshold=1e4, areas=None, sd=None, moi=None, features=['mean'], patch_size=3):
+    # Parse parameters type
+    treshold = float(treshold)
+    areas = None if areas is None else np.array(areas).astype(np.float).astype(np.int)
+    sd = None if sd is None else np.array(sd).astype(np.float)
+    moi = None if moi is None else np.array(moi).astype(np.float)
+    patch_size = int(patch_size)
+    features = [dispatcher[x] for x in features]
+
+    # Pipelines
+    loader = ld2dap.LoadTIFF(rasters)
+    dfc_filter = ld2dap.Treshold(treshold)
+    dfc_filter.input = loader
+    sdaps = ld2dap.SelfDualAttributeProfiles(area=areas, sd=sd, moi=moi)
+    sdaps.input = dfc_filter
+    local_features = ld2dap.LocalFeatures(features, patch_size)
+    local_features.input = sdaps
+    out_vectors = ld2dap.RawOutput()
+    out_vectors.input = local_features
+
+    # Compute vectors
+    out_vectors.run()
+
+    return out_vectors.data
+
+def version():
+    return 'v0.0'
+

Descriptors/dfc_sdaps.py

@@ -0,0 +1,40 @@
+#!/usr/bin/python
+# -*- coding: utf-8 -*-
+# \file dfc_sdaps.py
+# \brief TODO
+# \author Florent Guiotte <florent.guiotte@gmail.com>
+# \version 0.1
+# \date 27 août 2018
+#
+# TODO details
+
+import numpy as np
+
+import sys
+sys.path.append('..')
+import ld2dap
+
+def run(rasters, treshold=1e4, areas=None, sd=None, moi=None):
+    # Parse parameters type
+    treshold = float(treshold)
+    areas = None if areas is None else np.array(areas).astype(np.float).astype(np.int)
+    sd = None if sd is None else np.array(sd).astype(np.float)
+    moi = None if moi is None else np.array(moi).astype(np.float)
+
+    # Pipelines
+    loader = ld2dap.LoadTIFF(rasters)
+    dfc_filter = ld2dap.Treshold(treshold)
+    dfc_filter.input = loader
+    sdaps = ld2dap.SelfDualAttributeProfiles(area=areas, sd=sd, moi=moi)
+    sdaps.input = dfc_filter
+    out_vectors = ld2dap.RawOutput()
+    out_vectors.input = sdaps
+
+    # Compute vectors
+    out_vectors.run()
+
+    return out_vectors.data
+
+def version():
+    return 'v0.0'
+