Added a script to measure & report privacy masking camera performance in different configurations

modules/gapi/scripts/measure_privacy_masking.py

@@ -0,0 +1,99 @@
+#!/usr/bin/env python3
+
+import sys
+import subprocess
+import re
+from enum import Enum
+
+## Helper functions ##################################################
+##
+def fmt_bool(x):
+    return ("true" if x else "false")
+
+def fmt_bin(base, prec, model):
+    return "%s/%s/%s/%s.xml" % (base, model, prec, model)
+
+## The script itself #################################################
+##
+if len(sys.argv) != 3:
+    print("Usage: %s /path/to/input/video /path/to/models" % sys.argv[0])
+    exit(1)
+
+input_file_path   = sys.argv[1]
+intel_models_path = sys.argv[2]
+
+app             = "bin/example_gapi_privacy_masking_camera"
+intel_fd_model  = "face-detection-retail-0005"
+intel_lpd_model = "vehicle-license-plate-detection-barrier-0106"
+output_file     = "out_results.csv"
+
+tgts = [ ("CPU", "INT8")
+       , ("CPU", "FP32")
+       , ("GPU", "FP16")
+       ]
+
+class Policy(Enum):
+    Traditional = 1
+    Streaming   = 2
+
+# From mode to cmd arg
+mods = [ (Policy.Traditional, True)
+       , (Policy.Streaming,  False)
+       ]
+
+class UI(Enum):
+    With    = 1
+    Without = 2
+
+# From mode to cmd arg
+ui = [ (UI.With,   False)
+     , (UI.Without, True)
+     ]
+
+fd_fmt_bin  = lambda prec : fmt_bin(intel_models_path, prec, intel_fd_model)
+lpd_fmt_bin = lambda prec : fmt_bin(intel_models_path, prec, intel_lpd_model)
+
+# Performance comparison table
+table={}
+
+# Collect the performance data
+for m in mods:              # Execution mode (trad/stream)
+    for u in ui:            # UI mode (on/off)
+        for f in tgts:      # FD model
+            for p in tgts:  # LPD model
+                cmd = [ app
+                      , ("--input=%s"  % input_file_path)   # input file
+                      , ("--faced=%s"  % f[0])              # FD device target
+                      , ("--facem=%s"  % fd_fmt_bin(f[1]))  # FD model @ precision
+                      , ("--platd=%s"  % p[0])              # LPD device target
+                      , ("--platm=%s"  % lpd_fmt_bin(p[1])) # LPD model @ precision
+                      , ("--trad=%s"   % fmt_bool(m[1]))    # Execution policy
+                      , ("--noshow=%s" % fmt_bool(u[1]))    # UI mode (show/no show)
+                      ]
+                out = str(subprocess.check_output(cmd))
+                match = re.search('Processed [0-9]+ frames \(([0-9]+\.[0-9]+) FPS\)', out)
+                fps = float(match.group(1))
+                print(cmd, fps, "FPS")
+                table[m[0],u[0],f,p] = fps
+
+# Write the performance summary
+# Columns: all other components (mode, ui)
+with open(output_file, 'w') as csv:
+    # CSV header
+    csv.write("FD,LPD,Serial(UI),Serial(no-UI),Streaming(UI),Streaming(no-UI),Effect(UI),Effect(no-UI)\n")
+
+    for f in tgts:      # FD model
+        for p in tgts:  # LPD model
+            row = "%s/%s,%s/%s" % (f[0], f[1], p[0], p[1])                # FD precision, LPD precision
+            row += ",%f"    % table[Policy.Traditional,UI.With,   f,p]    # Serial/UI
+            row += ",%f"    % table[Policy.Traditional,UI.Without,f,p]    # Serial/no UI
+            row += ",%f"    % table[Policy.Streaming,  UI.With,   f,p]    # Streaming/UI
+            row += ",%f"    % table[Policy.Streaming,  UI.Without,f,p]    # Streaming/no UI
+
+            effect_ui   = table[Policy.Streaming,UI.With,   f,p] / table[Policy.Traditional,UI.With,   f,p]
+            effect_noui = table[Policy.Streaming,UI.Without,f,p] / table[Policy.Traditional,UI.Without,f,p]
+            row += ",%f,%f" % (effect_ui,effect_noui)
+            row += "\n"
+            csv.write(row)
+
+print("DONE: ", output_file)