def run_eval_debug(self, results, save_dir): self.save_results(results, save_dir) save_path = "cache/fail/" coco_dets = self.coco.loadRes('{}/results.json'.format(save_dir)) coco_eval = COCOeval(self.coco, coco_dets, "bbox") p = coco_eval.params p.imgIds = list(np.unique(p.imgIds)) p.maxDets = sorted(p.maxDets) coco_eval.params = p coco_eval._prepare() catIds = [-1] computeIoU = coco_eval.computeIoU coco_eval.ious = {(imgId, catId): coco_eval.computeIoU(imgId, catId) \ for imgId in p.imgIds for catId in catIds} maxDet = p.maxDets[-1] for imgId in p.imgIds: img_path = "/home/user/home/user/Xinyuan/work/CenterNet-1/data/coco/val2017/" fullImgId = str(imgId).zfill(11) img_path = os.path.join(img_path, fullImgId + '.jpg') img = cv2.imread(img_path) for catId in catIds: # for i, areaRng in enumerate(p.areaRng): areaRng = p.areaRng[0] print("areaRng: " + areaRng) result = coco_eval.getImageFailCase(imgId, catId, areaRng, maxDet) gtIds = result['gtIds'] dtIds = result['dtIds'] gtFailIds = gtIds[result['gtfail'][0]] dtFailIds = dtIds[result['dtfail'][0]] gts = [ _ for cId in p.catIds for _ in coco_eval._gts[imgId, cId] ] dts = [ _ for cId in p.catIds for _ in coco_eval._dts[imgId, cId] ] gts = [g['bbox'] for g in gts] dts = [d['bbox'] for d in dts] pdb.set_trace() c = [255, 0, 0] for dt in dts: bbox = np.array(dt, dtype=np.int32) cv2.rectangle(img, (bbox[0], bbox[1]), (bbox[2], bbox[3]), c, 2) c = [0, 255, 0] for gt in gts: bbox = np.array(gt, dtype=np.int32) cv2.rectangle(img, (bbox[0], bbox[1]), (bbox[2], bbox[3]), c, 2) # saveImage save_path = os.path.join(save_path, fullImgId + "_" + str(i)) cv2.imwrite(save_path, img)
maxDet = p.maxDets[-1] for imgId in p.imgIds: img_path = "/home/user/home/user/Xinyuan/work/CenterNet-1/data/coco/val2017/" fullImgId = str(imgId).zfill(12) img_path = os.path.join(img_path, fullImgId + '.jpg') print(img_path) img = cv2.imread(img_path) for catId in catIds: cat = int(catId) txt = cat_dict[cat]['name'] font = cv2.FONT_HERSHEY_SIMPLEX cat_size = cv2.getTextSize(txt, font, 0.5, 2)[0] areaRng = p.areaRng[0] # result = coco_eval.evaluateImg(imgId, catId, areaRng, maxDet) # pdb.set_trace() result = coco_eval.getImageFailCase(imgId, catId, areaRng, maxDet) if result is None: continue print(imgId) gts = result['gtFailBox'] dts = result['dtFailBox'] # pdb.set_trace() c = [255, 0, 0] for dt in dts: bbox = np.array(dt, dtype=np.int32) cv2.rectangle(img, (bbox[0], bbox[1]), (bbox[0] + bbox[2], bbox[1] + bbox[3]), c, 2) cv2.rectangle(img, (bbox[0], bbox[1] - cat_size[1] - 2), (bbox[0] + cat_size[0], bbox[1] - 2), c, -1) cv2.putText(img,