Update SSD documentation #987
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qingqing01
reviewed
Jun 15, 2018
fluid/object_detection/train.py
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| model_path = os.path.join(model_save_dir, str(pass_id)) | ||
| print 'save models to %s' % (model_path) | ||
| fluid.io.save_persistables(exe, model_path) | ||
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| def parallel_exe(args, |
qingqing01
approved these changes
Jun 19, 2018
qingqing01
reviewed
Jun 19, 2018
fluid/object_detection/README_cn.md
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| 训练数据的读取行为定义在 `reader.py` 中。所有的图片都会被resize到300x300。在训练时，图片还会被随机扰动、扩张、裁剪和翻转: | ||
| - 扰动: 扰动图片亮度、对比度、饱和度和hue。 | ||
| - 扩张: 将原始图片放进一张使用像素均值填充的扩张图中，之后对此图进行resize则相当于缩小了原图。 | ||
| - 裁剪: 对图片进行不同大小、比例和IOU的裁剪。 |
fluid/object_detection/README_cn.md
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| @@ -70,7 +74,13 @@ cd data/coco | |||
| python train.py --help | |||
| ``` | |||
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| 我们使用了 RMSProp 优化算法来训练 MobileNet-SSD，batch大小为64，权重衰减系数为0.00005，初始学习率为 0.001，并且在第40、60、80、100 轮时使用 0.5, 0.25, 0.1, 0.01乘子进行学习率衰减。在120轮训练后，11point评价标准下的mAP为XXX%。 | |||
| 训练数据的读取行为定义在 `reader.py` 中。所有的图片都会被resize到300x300。在训练时，图片还会被随机扰动、扩张、裁剪和翻转: | |||
| - 扰动: 扰动图片亮度、对比度、饱和度和hue。 | |||
fluid/object_detection/README_cn.md
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| @@ -70,7 +74,13 @@ cd data/coco | |||
| python train.py --help | |||
| ``` | |||
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| 我们使用了 RMSProp 优化算法来训练 MobileNet-SSD，batch大小为64，权重衰减系数为0.00005，初始学习率为 0.001，并且在第40、60、80、100 轮时使用 0.5, 0.25, 0.1, 0.01乘子进行学习率衰减。在120轮训练后，11point评价标准下的mAP为XXX%。 | |||
| 训练数据的读取行为定义在 `reader.py` 中。所有的图片都会被resize到300x300。在训练时，图片还会被随机扰动、扩张、裁剪和翻转: | |||
Noplz
reviewed
Jun 20, 2018
fluid/object_detection/README_cn.md
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| - 扰动: 扰动图片亮度、对比度、饱和度和色相。 | ||
| - 扩张: 将原始图片放进一张使用像素均值填充的扩张图中，之后对此图进行缩放则相当于缩放了原图。 | ||
| - 翻转: 水平翻转。 | ||
| - 采样: 依据缩放比例、长宽比例，生成若干候选坐标，再依据这些候选坐标和真实坐标的面积交并比(IOU)采样出若干坐标。 |
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随机裁剪: 根据缩放比例、长宽比例两个参数生成若干候选框，再依据这些候选框和标注框的面积交并比(IoU)挑选出符合要求的裁剪结果。 这么写是不是好一点 替换掉原来的采样那一行
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revised, 使用"裁剪"而不是"随机裁剪"，因为扰动，扩展，翻转，裁剪都是随机，要么统一加：“随机”，要么统一不加。因为统一加太冗余，所以统一不加
fluid/object_detection/README_cn.md
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| 我们使用了 RMSProp 优化算法来训练 MobileNet-SSD，batch大小为64，权重衰减系数为0.00005，初始学习率为 0.001，并且在第40、60、80、100 轮时使用 0.5, 0.25, 0.1, 0.01乘子进行学习率衰减。在120轮训练后，11point评价标准下的mAP为XXX%。 | ||
| 数据的读取行为定义在 `reader.py` 中，所有的图片都会被缩放到300x300。在训练时，数据还会进行图片增强和标签增强，图片增强包括对图片本身的随机扰动、扩张和翻转，标签增强包括采样: | ||
| - 扰动: 扰动图片亮度、对比度、饱和度和色相。 | ||
| - 扩张: 将原始图片放进一张使用像素均值填充的扩张图中，之后对此图进行缩放则相当于缩放了原图。 |
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这里不用之后了吧 就写再对此图进行缩放是不是好一点。填均值这里要不直接写填0或者注明一下 后面会减掉均值？
qingqing01
approved these changes
Jun 20, 2018
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