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https://github.com/alicevision/Meshroom.git
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81 lines
2.6 KiB
Python
Executable file
81 lines
2.6 KiB
Python
Executable file
#!/usr/bin/env python3
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import argparse
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import os
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from pprint import pprint
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from collections import Iterable, defaultdict
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from meshroom.processGraph import graph as pg
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def addPlots(curves, title, fileObj):
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if not curves:
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return
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import matplotlib.pyplot as plt, mpld3
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fig = plt.figure()
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ax = fig.add_subplot(111, axisbg='#EEEEEE')
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ax.grid(color='white', linestyle='solid')
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for curveName, curve in curves:
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if not isinstance(curve[0], pg.basestring):
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ax.plot(curve, label=curveName)
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ax.legend()
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# plt.ylim(0, 100)
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plt.title(title)
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mpld3.save_html(fig, fileObj)
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plt.close(fig)
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parser = argparse.ArgumentParser(description='Query the status of nodes in a Graph of processes.')
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parser.add_argument('graphFile', metavar='GRAPHFILE.mg', type=str,
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help='Filepath to a graph file.')
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parser.add_argument('--node', metavar='NODE_NAME', type=str,
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help='Process the node alone.')
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parser.add_argument('--graph', metavar='NODE_NAME', type=str,
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help='Process the node and all previous nodes needed.')
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parser.add_argument('--exportHtml', metavar='FILE', type=str,
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help='Filepath to the output html file.')
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parser.add_argument("--verbose", help="Print full status information",
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action="store_true")
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args = parser.parse_args()
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if not os.path.exists(args.graphFile):
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print('ERROR: No graph file "{}".'.format(args.node, args.graphFile))
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exit(-1)
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graph = pg.loadGraph(args.graphFile)
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graph.update()
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graph.updateStatisticsFromCache()
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nodes = []
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if args.node:
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if args.node not in graph.nodes:
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print('ERROR: node "{}" does not exist in file "{}".'.format(args.node, args.graphFile))
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exit(-1)
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nodes = [graph.nodes[args.node]]
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else:
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startNodes = None
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if args.graph:
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startNodes = [graph.nodes[args.graph]]
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nodes = graph.dfsNodesOnFinish(startNodes=startNodes)
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for node in nodes:
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print('{}: {}'.format(node.name, node.statistics.toDict()))
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if args.exportHtml:
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with open(args.exportHtml, 'w') as fileObj:
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for node in nodes:
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for curves in (node.statistics.computer.curves, node.statistics.process.curves):
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exportCurves = defaultdict(list)
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for name, curve in curves.items():
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s = name.split('.')
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figName = s[0]
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curveName = ''.join(s[1:])
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exportCurves[figName].append((curveName, curve))
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for name, curves in exportCurves.items():
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addPlots(curves, name, fileObj)
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