From 808cee7ac05c2ff6589d93472f59158b8773005a Mon Sep 17 00:00:00 2001 From: ykudo Date: Tue, 19 Jun 2018 17:52:35 +0900 Subject: [PATCH 1/4] Bug fix for demo --- README.md | 2 +- bin/demo.py | 22 ++++++++++--------- bin/evaluation_util.py | 23 ++++++++++---------- projection_gan/pose/dataset/pose_dataset.py | 4 ++-- sample/gen_epoch_500.npz | 4 ++-- sample/image.png | Bin 0 -> 1237802 bytes 6 files changed, 29 insertions(+), 26 deletions(-) create mode 100644 sample/image.png diff --git a/README.md b/README.md index 2adc592..932a76b 100644 --- a/README.md +++ b/README.md @@ -15,7 +15,7 @@ This is the authors' implementation of [Unsupervised Adversarial Learning of 3D * pose_iter_440000.caffemodel * http://posefs1.perception.cs.cmu.edu/OpenPose/models/pose/coco/pose_iter_440000.caffemodel 2. Run Inference - * ` python bin/demo.py your/image.png --lift_model sample/gen_epoch_500.npz --model pose_iter_440000.caffemodel --proto2d openpose_pose_coco.prototxt` + * ` python bin/demo.py sample/image.png --lift_model sample/gen_epoch_500.npz --model pose_iter_440000.caffemodel --proto2d openpose_pose_coco.prototxt` * **Need OpenCV >= 3.4** * < 3.3 results extreamly wrong estimation diff --git a/bin/demo.py b/bin/demo.py index c398cc9..a3bff6b 100644 --- a/bin/demo.py +++ b/bin/demo.py @@ -11,7 +11,6 @@ sys.path.append(os.path.join(os.path.dirname(__file__), "..")) import projection_gan - def to36M(bones, body_parts): H36M_JOINTS_17 = [ 'Hip', @@ -70,6 +69,7 @@ def to36M(bones, body_parts): raise Exception(name) else: adjusted_bones.append(bones[body_parts[name]]) + return adjusted_bones @@ -117,7 +117,7 @@ def predict(self, args, frame): frameWidth = frame.shape[1] frameHeight = frame.shape[0] inp = cv.dnn.blobFromImage(frame, 1.0 / 255, (inWidth, inHeight), - (0, 0, 0), swapRB=False) + (0, 0, 0), swapRB=False, crop=False) self.net.setInput(inp) out = self.net.forward() @@ -164,17 +164,19 @@ def main(args): points = [vec for vec in points] points = [np.array(vec) for vec in points] BODY_PARTS, POSE_PAIRS = parts(args) - points = np.float32(to36M(points, BODY_PARTS)) - points = np.reshape(points, [1, -1]) - points = projection_gan.pose.dataset.pose_dataset.pose_dataset_base.Normalization.normalize_2d(points) - pose = create_pose(model, points) + points = to36M(points, BODY_PARTS) + points = np.reshape(points, [1, -1]).astype('f') + points_norm = projection_gan.pose.dataset.pose_dataset.pose_dataset_base.Normalization.normalize_2d(points) + pose = create_pose(model, points_norm) out_directory = "demo_out" os.makedirs(out_directory, exist_ok=True) - split = 10 - for i in range(split): - img = evaluation_util.create_projection_img(pose, np.pi * float(2) * i / split) - cv.imwrite(os.path.join(out_directory, "{:02d}.png".format(i)), img) + out_img = evaluation_util.create_img(points[0], frame) + cv.imwrite(os.path.join(out_directory, 'openpose_detect.jpg'), out_img) + deg = 15 + for d in range(0, 360 + deg, deg): + img = evaluation_util.create_projection_img(pose, np.pi * d / 180.) + cv.imwrite(os.path.join(out_directory, "rot_{:03d}_degree.png".format(d)), img) if __name__ == '__main__': diff --git a/bin/evaluation_util.py b/bin/evaluation_util.py index c706a4c..c00b15a 100644 --- a/bin/evaluation_util.py +++ b/bin/evaluation_util.py @@ -53,21 +53,22 @@ def create_projection_img(array, theta): return create_img(fake) -def create_img(arr): +def create_img(arr, img=None): ps = [0, 1, 2, 0, 4, 5, 0, 7, 8, 9, 8, 11, 12, 8, 14, 15] qs = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16] xs = arr[0::2].copy() ys = arr[1::2].copy() - xs *= 80 - xs += 100 - ys *= 80 - ys += 150 - xs = xs.astype('i') - ys = ys.astype('i') - img = np.zeros((350, 200, 3), dtype=np.uint8) + 160 - img = cv2.line(img, (100, 0), (100, 350), (255, 255, 255), 1) - img = cv2.line(img, (0, 150), (200, 150), (255, 255, 255), 1) - img = cv2.rectangle(img, (0, 0), (200, 350), (255, 255, 255), 3) + if img is None: + xs *= 80 + xs += 100 + ys *= 80 + ys += 150 + xs = xs.astype('i') + ys = ys.astype('i') + img = np.zeros((350, 200, 3), dtype=np.uint8) + 160 + img = cv2.line(img, (100, 0), (100, 350), (255, 255, 255), 1) + img = cv2.line(img, (0, 150), (200, 150), (255, 255, 255), 1) + img = cv2.rectangle(img, (0, 0), (200, 350), (255, 255, 255), 3) for i, (p, q) in enumerate(zip(ps, qs)): c = 1 / (len(ps) - 1) * i b, g, r = color_jet(c) diff --git a/projection_gan/pose/dataset/pose_dataset.py b/projection_gan/pose/dataset/pose_dataset.py index 18dfa2a..cba5c85 100644 --- a/projection_gan/pose/dataset/pose_dataset.py +++ b/projection_gan/pose/dataset/pose_dataset.py @@ -99,13 +99,13 @@ def __init__(self, action='all', length=1, with open('data/h36m/points_3d.pkl', 'rb') as f: p3d = pickle.load(f) # カメラパラメータ - if not os.path.exists('data//h36m/cameras.pkl'): + if not os.path.exists('data/h36m/cameras.pkl'): print('Downloading camera parameters.') os.system('wget --no-check-certificate "https://onedriv' + \ 'e.live.com/download?cid=B08D60FE71FF90FD&resid=B08' + \ 'D60FE71FF90FD%2118615&authkey=AEUoi3s16rBTFRA" -O ' + \ 'data/h36m/cameras.pkl') - with open('data//h36m/cameras.pkl', 'rb') as f: + with open('data/h36m/cameras.pkl', 'rb') as f: cams = pickle.load(f) # StackedHourglassによる検出結果 if use_sh_detection: diff --git a/sample/gen_epoch_500.npz b/sample/gen_epoch_500.npz index 0fc4441..536d357 100644 --- a/sample/gen_epoch_500.npz +++ b/sample/gen_epoch_500.npz @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:76f03471c29f8e4a366ec09bd21957b9ce8d6d9b31e43ace13cebdbc6570afd8 -size 8025774 +oid sha256:3f4eec394542546e00e8ba6cfec73ae83396b1316144fd75b9cd0008759934c8 +size 8611258 diff --git a/sample/image.png b/sample/image.png new file mode 100644 index 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z=PNw95W7hW^5Zc(u05ZY?fI@wjg6v>3?IXbIHn!EoR40oj*m-nuj$3Or<^)3-yZGS zah?sWQ;b<{pt-$Yj%@H&nfKGv6N9gvSNtT1t+v^|jyeMIcedbWP|4+P-2UL_wN(V08&U-yz#2XCHp}@$?Eev+kdC zy}Xy@weT@pX5;WzA0DvK&OJ63u59Xbw)4ugD>L88hu}Ipd+Ew~+jJD4%EF8d?8fxk zSfd?N&v|yezCc`$C-zEqfy|3^`GmxM3~0|EHe>5Ja~ zmX034{dUV(9kB&M*lYsyM_p}jJ7g9o`Pb-Yo@sblJmhvI&uBez)!L5-_)|jp9*W-2 zvKEcVNScWt?!df#bd{$#!?;TkSiR!fWvix2v{xt=r>r-)LQ2^M#Ek_X!#&QKEcxO`Euc4|F}x z8;rOAc?H#!mzKxM+p)pa@x&DiQ+BKmMjJ8A)-hS!=-9A2>ect6yYkvJAC{V9Y!P9e z1Pd5JZZ9(Vg4o}_M{eiTHzsh=cXIRYMsNOkQvNKa7$@~ztRSN?DfL(P<_c+*6=6v$ zqj=o5l$SCG6P!@~w8d`Ct1iYY3+CObDsS`8*fUb#$Ci8|0)j_u92|e;UwH#IPnJXg O0000 Date: Thu, 12 Jul 2018 12:14:27 +0900 Subject: [PATCH 2/4] Add note about OpenCV. --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 8f43b2c..8264c82 100644 --- a/README.md +++ b/README.md @@ -23,7 +23,8 @@ This is the authors' implementation of [Unsupervised Adversarial Learning of 3D - Python 3.6.5 - Cupy 4.0.0 - Chainer 4.0.0 - - OpenCV 3.4 (when showing results) + - OpenCV 3.4 (only for demo) + - Note: OpenPose in OpenCV via pip (e.g. `pip install opencv-python`) does not work correctly. Plese build your OpenCV or use a conda package (`conda install -c conda-forge opencv` on [Anaconda3-4.4.0](https://repo.continuum.io/archive/) works fine for our environment.). - git-lfs - to download pre-trained model - or you can download pre-trained model directory from [https://github.com/DwangoMediaVillage/3dpose_gan/blob/master/sample/gen_epoch_500.npz?raw=true](https://github.com/DwangoMediaVillage/3dpose_gan/blob/master/sample/gen_epoch_500.npz?raw=true) From 0ca53b4ee2082ec154c465f7d9597465237ebcef Mon Sep 17 00:00:00 2001 From: yasunorikudo Date: Thu, 12 Jul 2018 12:20:01 +0900 Subject: [PATCH 3/4] Add SOTA model. --- README.md | 4 ++-- sample/gen_epoch_500.npz | 3 --- sample/gen_epoch_6.npz | 3 +++ 3 files changed, 5 insertions(+), 5 deletions(-) delete mode 100644 sample/gen_epoch_500.npz create mode 100644 sample/gen_epoch_6.npz diff --git a/README.md b/README.md index 8264c82..9e3dfc0 100644 --- a/README.md +++ b/README.md @@ -15,7 +15,7 @@ This is the authors' implementation of [Unsupervised Adversarial Learning of 3D * pose_iter_440000.caffemodel * http://posefs1.perception.cs.cmu.edu/OpenPose/models/pose/coco/pose_iter_440000.caffemodel 2. Run Inference - * ` python bin/demo.py sample/image.png --lift_model sample/gen_epoch_500.npz --model2d pose_iter_440000.caffemodel --proto2d openpose_pose_coco.prototxt` + * ` python bin/demo.py sample/image.png --lift_model sample/gen_epoch_6.npz --model2d pose_iter_440000.caffemodel --proto2d openpose_pose_coco.prototxt` * **Need OpenCV >= 3.4** * < 3.3 results extreamly wrong estimation @@ -27,7 +27,7 @@ This is the authors' implementation of [Unsupervised Adversarial Learning of 3D - Note: OpenPose in OpenCV via pip (e.g. `pip install opencv-python`) does not work correctly. Plese build your OpenCV or use a conda package (`conda install -c conda-forge opencv` on [Anaconda3-4.4.0](https://repo.continuum.io/archive/) works fine for our environment.). - git-lfs - to download pre-trained model - - or you can download pre-trained model directory from [https://github.com/DwangoMediaVillage/3dpose_gan/blob/master/sample/gen_epoch_500.npz?raw=true](https://github.com/DwangoMediaVillage/3dpose_gan/blob/master/sample/gen_epoch_500.npz?raw=true) + - or you can download pre-trained model directory from [https://github.com/DwangoMediaVillage/3dpose_gan/blob/master/sample/gen_epoch_6.npz?raw=true](https://github.com/DwangoMediaVillage/3dpose_gan/blob/master/sample/gen_epoch_6.npz?raw=true) ## Training #### Human3.6M dataset diff --git a/sample/gen_epoch_500.npz b/sample/gen_epoch_500.npz deleted file mode 100644 index 536d357..0000000 --- a/sample/gen_epoch_500.npz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:3f4eec394542546e00e8ba6cfec73ae83396b1316144fd75b9cd0008759934c8 -size 8611258 diff --git a/sample/gen_epoch_6.npz b/sample/gen_epoch_6.npz new file mode 100644 index 0000000..b26dccc --- /dev/null +++ b/sample/gen_epoch_6.npz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:38b96fa462bad522f212de2e132632a864677e0f9fc775ef2d16f6da069af724 +size 8007843 From 7cc5a496b67a4e1a1c873e9d05672f33d74a1e1b Mon Sep 17 00:00:00 2001 From: yasunorikudo Date: Thu, 12 Jul 2018 12:48:44 +0900 Subject: [PATCH 4/4] Show error message when enough key points were not detected. --- bin/demo.py | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/bin/demo.py b/bin/demo.py index a3bff6b..4eece53 100644 --- a/bin/demo.py +++ b/bin/demo.py @@ -161,10 +161,15 @@ def main(args): if not hasFrame: exit(0) points = OpenPose(args).predict(args, frame) - points = [vec for vec in points] + + if None in points: + n_detect_key_points = sum([vec is not None for vec in points]) + raise Exception('OpenPose could not detect enough key points. ' + '{}/{} points were detected. Try another image.'.format(n_detect_key_points, len(points))) points = [np.array(vec) for vec in points] BODY_PARTS, POSE_PAIRS = parts(args) - points = to36M(points, BODY_PARTS) + + points = to36M(points, BODY_PARTS) # 19 points -> 17 points points = np.reshape(points, [1, -1]).astype('f') points_norm = projection_gan.pose.dataset.pose_dataset.pose_dataset_base.Normalization.normalize_2d(points) pose = create_pose(model, points_norm) @@ -177,6 +182,7 @@ def main(args): for d in range(0, 360 + deg, deg): img = evaluation_util.create_projection_img(pose, np.pi * d / 180.) cv.imwrite(os.path.join(out_directory, "rot_{:03d}_degree.png".format(d)), img) + print("Saved result images in '{}'.".format(os.path.join(os.getcwd(), out_directory))) if __name__ == '__main__':