Improve benchmark script
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@ -7,6 +7,7 @@ local iproc = require 'iproc'
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local reconstruct = require 'reconstruct'
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local image_loader = require 'image_loader'
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local gm = require 'graphicsmagick'
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local cjson = require 'cjson'
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local cmd = torch.CmdLine()
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cmd:text()
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@ -30,6 +31,8 @@ cmd:option("-save_baseline_image", 0, 'save baseline images')
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cmd:option("-output_dir", "./", 'output directroy')
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cmd:option("-show_progress", 1, 'show progressbar')
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cmd:option("-baseline_filter", "Catrom", 'baseline interpolation (Box|Lanczos|Catrom(Bicubic))')
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cmd:option("-save_info", 0, 'save score and parameters to benchmark.txt')
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cmd:option("-save_all", 0, 'group -save_info, -save_image and -save_baseline_image option')
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local function to_bool(settings, name)
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if settings[name] == 1 then
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@ -45,8 +48,16 @@ if cudnn then
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cudnn.benchmark = false
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end
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to_bool(opt, "gamma_correction")
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to_bool(opt, "save_image")
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to_bool(opt, "save_baseline_image")
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to_bool(opt, "save_all")
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if opt.save_all then
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opt.save_image = true
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opt.save_info = true
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opt.save_baseline_image = true
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else
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to_bool(opt, "save_image")
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to_bool(opt, "save_info")
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to_bool(opt, "save_baseline_image")
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end
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to_bool(opt, "show_progress")
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local function rgb2y_matlab(x)
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@ -207,6 +218,23 @@ local function benchmark(opt, x, input_func, model1, model2)
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io.stdout:flush()
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end
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end
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if opt.save_info then
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local fp = io.open(path.join(opt.output_dir, "benchmark.txt"), "w")
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fp:write("options : " .. cjson.encode(opt) .. "\n")
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if baseline_psnr > 0 then
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fp:write(string.format("baseline: RMSE = %.3f, PSNR = %.3f\n",
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math.sqrt(baseline_mse / #x), baseline_psnr / #x))
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end
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if model1_psnr > 0 then
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fp:write(string.format("model1 : RMSE = %.3f, PSNR = %.3f\n",
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math.sqrt(model1_mse / #x), model1_psnr / #x))
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end
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if model2_psnr > 0 then
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fp:write(string.format("model2 : RMSE = %.3f, PSNR = %.3f\n",
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math.sqrt(model2_mse / #x), model2_psnr / #x))
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end
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fp:close()
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end
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io.stdout:write("\n")
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end
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local function load_data(test_dir)
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@ -216,8 +244,11 @@ local function load_data(test_dir)
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local name = path.basename(files[i])
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local e = path.extension(name)
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local base = name:sub(0, name:len() - e:len())
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table.insert(test_x, {image = iproc.crop_mod4(image_loader.load_float(files[i])),
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basename = base})
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local img = image_loader.load_float(files[i])
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if img then
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table.insert(test_x, {image = iproc.crop_mod4(img),
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basename = base})
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end
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if opt.show_progress then
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xlua.progress(i, #files)
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end
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