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[Doc] Update vision_result doc (#494)
* add paddle_trt in benchmark * update benchmark in device * update benchmark * update result doc
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@@ -16,6 +16,7 @@ API:`fastdeploy.vision.SegmentationResult`, 该结果返回:
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- **score_map**(list of float): 成员变量,与label_map一一对应的所预测的分割类别概率值(当导出模型时指定`--output_op argmax`)或者经过softmax归一化化后的概率值(当导出模型时指定`--output_op softmax`或者导出模型时指定`--output_op none`同时模型初始化的时候设置模型类成员属性`apply_softmax=true`).
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- **shape**(list of int): 成员变量,表示输出图片的尺寸,为`H*W`.
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## DetectionResult
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DetectionResult代码定义在`fastdeploy/vision/common/result.h`中,用于表明图像检测出来的目标框、目标类别和目标置信度.
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@@ -40,6 +41,7 @@ API:`fastdeploy.vision.FaceDetectionResult` , 该结果返回:
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- **landmarks**(list of list(float)): 成员变量,表示单张图片检测出来的所有人脸的关键点.
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- **landmarks_per_face**(int): 成员变量,表示每个人脸框中的关键点的数量.
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## KeyPointDetectionResult
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KeyPointDetectionResult 代码定义在`fastdeploy/vision/common/result.h`中,用于表明图像中目标行为的各个关键点坐标和置信度。
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@@ -70,6 +72,7 @@ API:`fastdeploy.vision.MattingResult`, 该结果返回:
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- **contain_foreground**(bool): 表示预测的结果是否包含前景.
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- **shape**(list of int): 表示输出结果的shape,当`contain_foreground`为`false`,shape只包含`(H,W)`,当`contain_foreground`为`true`,shape包含`(H,W,C)`, C一般为3.
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## OCRResult
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OCRResult代码定义在`fastdeploy/vision/common/result.h`中,用于表明图像检测和识别出来的文本框,文本框方向分类,以及文本框内的文本内容.
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@@ -79,3 +82,17 @@ API:`fastdeploy.vision.OCRResult`, 该结果返回:
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- **rec_scores**(list of float): 成员变量,表示文本框内识别出来的文本的置信度,其元素个数与`boxes.size()`一致.
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- **cls_scores**(list of float): 成员变量,表示文本框的分类结果的置信度,其元素个数与`boxes.size()`一致.
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- **cls_labels**(list of int): 成员变量,表示文本框的方向分类类别,其元素个数与`boxes.size()`一致.
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## FaceAlignmentResult
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FaceAlignmentResult 代码定义在`fastdeploy/vision/common/result.h`中,用于表明人脸landmarks。
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API:`fastdeploy.vision.FaceAlignmentResult`, 该结果返回:
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- **landmarks**(list of list(float)): 成员变量,表示单张人脸图片检测出来的所有关键点
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## HeadPoseResult
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HeadPoseResult 代码定义在`fastdeploy/vision/common/result.h`中,用于表明头部姿态结果。
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API:`fastdeploy.vision.HeadPoseResult`, 该结果返回:
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- **euler_angles**(list of float): 成员变量,表示单张人脸图片预测的欧拉角,存放的顺序是(yaw, pitch, roll), yaw 代表水平转角,pitch 代表垂直角,roll 代表翻滚角,值域都为 [-90, +90]度
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@@ -10,6 +10,7 @@ API: `fastdeploy.vision.ClassifyResult`, The ClassifyResult will return:
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- **scores**(list of float):Member variables that indicate the confidence level of a single image on the corresponding classification result, the number of which is determined by the `topk` passed in when using the classification model, e.g. the confidence level of a Top 5 classification can be returned.
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## SegmentationResult
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The code of SegmentationResult is defined in `fastdeploy/vision/common/result.h` and is used to indicate the segmentation category predicted for each pixel in the image and the probability of the segmentation category.
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@@ -33,6 +34,7 @@ API: `fastdeploy.vision.Mask`, The Mask will return:
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- **data**:Member variable indicating a detected mask.
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- **shape**:Member variable representing the shape of the mask, e.g. `(H,W)`.
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## FaceDetectionResult
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The FaceDetectionResult code is defined in `fastdeploy/vision/common/result.h` and is used to indicate the target frames detected by face detection, face landmarks, target confidence and the number of landmarks per face.
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@@ -42,6 +44,7 @@ API: `fastdeploy.vision.FaceDetectionResult`, The FaceDetectionResult will retur
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- **landmarks**(list of list(float)): Member variables that represent the key points of all faces detected by a single image.
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- **landmarks_per_face**(int):Member variable indicating the number of key points in each face frame.
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## KeyPointDetectionResult
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The KeyPointDetectionResult code is defined in `fastdeploy/vision/common/result.h` and is used to indicate the coordinates and confidence of each keypoint of the target behavior in the image.
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@@ -55,12 +58,14 @@ API:`fastdeploy.vision.KeyPointDetectionResult`, The KeyPointDetectionResult wil
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- `J`: num_joints(number of keypoints for a target)
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- **num_joints**(int): Member variable, representing the number of keypoints for a target
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## FaceRecognitionResult
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The FaceRecognitionResult code is defined in `fastdeploy/vision/common/result.h` and is used to indicate the embedding of the image features by the face recognition model.
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API: `fastdeploy.vision.FaceRecognitionResult`, The FaceRecognitionResult will return:
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- **landmarks_per_face**(list of float):Member variables, which indicate the final extracted features embedding of the face recognition model, can be used to calculate the feature similarity between faces.
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## MattingResult
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The MattingResult code is defined in `fastdeploy/vision/common/result.h` and is used to indicate the value of alpha transparency predicted by the model, the predicted outlook, etc.
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@@ -70,6 +75,7 @@ API:`fastdeploy.vision.MattingResult`, The MattingResult will return:
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- **contain_foreground**(bool):Indicates whether the predicted outcome includes the foreground.
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- **shape**(list of int): When `contain_foreground` is false, the shape only contains `(H,W)`, when `contain_foreground` is `true,` the shape contains `(H,W,C)`, C is generally 3.
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## OCRResult
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The OCRResult code is defined in `fastdeploy/vision/common/result.h` and is used to indicate the text box detected in the image, the text box orientation classification, and the text content recognized inside the text box.
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@@ -79,3 +85,17 @@ API:`fastdeploy.vision.OCRResult`, The OCRResult will return:
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- **rec_scores**(list of float):Member variable indicating the confidence level of the text identified in the box, the number of elements is the same as `boxes.size()`.
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- **cls_scores**(list of float):Member variable indicating the confidence level of the classification result of the text box, with the same number of elements as `boxes.size()`.
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- **cls_labels**(list of int):Member variable indicating the orientation category of the text box, the number of elements is the same as `boxes.size()`.
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## FaceAlignmentResult
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The code of FaceAlignmentResult is defined in `fastdeploy/vision/common/result.h` and is used to indicate the key points of the face.
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API: `fastdeploy.vision.FaceAlignmentResult`, The FaceAlignmentResult will return:
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- **landmarks**(list of list(float)):Member variables that represent the all key points detected from a single face image.
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## HeadPoseResult
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The code of HeadPoseResult is defined in `fastdeploy/vision/common/result.h` and is used to indicate the head pose result.
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API: `fastdeploy.vision.HeadPoseResult`, The HeadPoseResult will return:
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- **euler_angles**(list of float):Member variables that represent the Euler angle predicted by a single face image. The storage order is (yaw, pitch, roll), yaw represents the horizontal angle, pitch represents the vertical angle, roll represents the roll angle, and the value range is [-90, +90] Spend.
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